Gabby, she's a Google Developer Advocate. She also maintains an intimidating LEGO collection, which is, I think, a perfect way of describing it, because I'm definitely afraid of stepping on one LEGO, let alone thousands of LEGOs. So she's going to talk to us a little bit about machine learning. So welcome, Gabby. Good afternoon. I think it's afternoon, so good afternoon.  I'm not going to talk about machine learning per se, because I don't know machine learning. I'm a developer. What I know is APIs. So what I want to show you and teach you here is how to use machine learning APIs for you to use in your own applications without having to know machine learning. So that's the point of my talk, and I hope you like it. So let's start. So what is machine learning? It's about solving problems without specific rules. It's all able to learn by the example and set up new answers based on the example that you just gave to them. And I have a colleague that says machine learning is just a thing labeled essentially. And the truth is it's kind of like that. And if you can label anything, you can process the data and then create predictions and that kind of stuff. So I want to do an exercise with you first. How would you identify the following images that are having here? I have an apple, and I have an orange. So tell me, how would you differentiate one thing from another? Color? Shape, okay. So someone said color, and if you have this, how do you differentiate that? Just my shape, right? I could create a script before when it was red and orange. That could count how many pixels reds I have, how many pixels orange I have. And then based on the ratio, say it's an apple, it's an orange, but like if I have a green apple, those just go out of the blue. So this doesn't work. So what about a dog and a muffin? That's easier to differentiate, right? The dog has joints and nose, a mouth and a muffin just looks nice. But what if you have this? Is that a dog and a muffin? That's a bit difficult. And this. It's a mouth or I don't know the brain, but like this one here, it's my favorite. So machine learning comes to solve these kind of problems to help you identify these kind of differences without having to have a human eye to look at it. So it's loosely based on how the brain, the human brain works. It's to solve the problems without knowing specifically setting up ifs to know the answer for it. Or trying every possibility to know the answer for it. And enable systems that improve over time. So when you have a prediction on machine learning, you have a confidence level of that prediction is true or not. And I'm going to show you later. So at Google we have five machine learning APIs that the vision wants for processing images. The cloud video intelligence processing video gives you time stamps on the video, what was said and that kind of stuff. Cloud speech is similar to the video, but it can do live also. And cloud translation also does about a thousand pairs of different languages to translate. And cloud natural language that helps you identify sentiment analysis, for instance, on a given sentence that you give it. So the cloud vision API, that's the first one that I'm going to talk about. I want to talk about three. It's for detecting images that are complex just with a vast API request. And you can do labor and web detection would be saying, hey, this is an elephant. This is gray. And that's going to give you the tags around the image to get the text out of an image using a CR. To detect logos that you have. If there is a popular logo that you have around, it's going to detect and say, hey, there is a logo here. Landmarks also detect for you. You take a picture of a landmark and you can detect where it is. Crop hints is like what you do in Instagram that gives you a hint of how to crop the image to be squared. And explicit content detection because a lot of the content we get sometimes is from users and we don't know what they are doing. So instead of just showing you can see, is this image saved? It's going to tell you it is or not with a confidence level. So I have a demonstration here on the cloud vision API. This first cell here just ignored is just to print it nicely. And I want to help here. I'm importing the cloud vision API and then sending which file it is. Sending out the file URL and getting the image annotated and showing up the image in the end. So this is the image. What it is? Okay. Go to get bridge. So let's see. I'm executing. No. It's a 25th of April bridge from Portugal. It's similar, but it's not the same. And you can do it with another one too. Now you don't trust me anymore. But like, what is this? Okay. Let's see. No. It's as far as an Italian casino. So even images that are similar that looks like landmarks you're able to detect that's different. So it can also get different labels around the image. Besides it's a landmark. It's a power tourism because it's Las Vegas. So it's involved with tourism and other tags. And here I'm getting a random image because we have this thing called Web Detection. And you can say, hey, I want to see visually similar images. It's the one that I just uploaded here. This is useful. If you're looking, you can have full match images too. If you're looking, let's say you took a picture. And you want to see if someone in the web got your picture copied on their blog or something like that. You can look for copyright infringement with this. To know if someone took the same picture as you and put in their content. So that's unused for that. This one is to get visually similar, not necessarily the same, and showing off here. So it's executing.  And this is not the same image, but it's similar. You see it's the same monument. And I'm getting a random image. And if I get it again, it's another picture of the same thing. So it's able to detect not only that is landmark, which landmark it is, and find similar images to it too. There's also a cool thing called AutoML that I'm going to talk in the end. And if it is, if there's time, I'm going to show you too. So the Google Cloud Vision, the code in the end is just this. It's 13 lines with comments. And with that, you can put anywhere in your code to just figure out what you're being uploaded, or if it is a safe image, for instance, or not. And in this case, getting a landmark. The next one, I'm sorry. If you use GIFI, you probably use Cloud Vision. You're not realising. If you want to read a bit more, just look at their engineering blog. They have a blog post saying how to use Cloud Vision in production. So when you search by sometimes there, you probably are using a Cloud Vision API to get that answer. Second one, the Google Cloud Translation. It translates over 100, actually 120 languages now. And you can have a thousand pairs or so more, as I said before, of comparison. And you can use to translate text from one language to a target language, or detect the language that a text is from. Let's say you've got a flyer, a post, and you don't know what is written and what language it is. So someone sends you an email, you don't know the language. You can use the Vision API, the Translation API to detect which language is being said there. So one of the examples that we have is the Google Translate app. And you can just show an image and kind of combine the vision, getting the OCR, and translate whatever it's in there to another language, so you know. I have a little demonstration here. So this, I'm going to just say something in Japanese, which I don't know how to pronunciate. I'm not going to try. And I'm going to try to translate to English. And once I say, after instantiating the client here, once I say which is the text, what is the target language, notice, I didn't say it is Japanese at the beginning. It's going to figure out that's from Japanese to English. And that's going to be what it's written there. And you can translate to any language that you want. Just that, if it is possible, we have on the website, there is a list of the languages that are possible to be translated. So you can use this to translate any text that you have, that user input that you got. You can get it in different languages, especially if you're using a multi-language application. So this is the code with comments and the prints. It's about 18 lines. And that does the translation for you. You don't have to go to the Google translate itself to translate for you. You can just use the API. And my favorite one is the natural language. The natural language API helps you understand with a simple request, things like extract entities. And entities here are not like entities on the web. It's like, oh, I went to a restaurant and ordered sushi. And it's going to say that restaurant is a local and sushi, it's a food, and that's a type of entity. And detect the sentiment on a sentence. And when I was, I'm Brazilian, so when I was learning Portuguese, Portuguese is not an easy language. It had like this thick book on analysis, syntax analysis. And I could never get a thing figured out. And with this API, you can actually get, say, this is a verb, this is a conjunction, this is an adverb, and you can stop having to worry about that. And in the end, classifier content, but there is a caveat. The classifying content API only works with English. It doesn't work with other languages. So first off, I have the sentiment API here. I just said I went to the restaurant and ordered sushi. The food was really good. Even though it was negative, the score is still on the neutral zone, because I'm not seeing anything bad about it. It's just a bit, see, it's a neutral. But the overall score of the whole document, it's positive, 0.3. And the magnitude says, like, it's from 0 to infinity. It tells you how much intention and sentiment is on that thing. So 0.9 is the whole overall magnitude of the document. The food was really good. The thing because of the word good is 0.8. It's a bit higher. So as I say, syntax analysis and analyzing the sentence that I just wrote before, we can see how the words depend on each other. So you see here that the root words go, and that's the lemma, which means, like, it's like the main thing on a sentence. In this case, it's go and order. That's two things that you couldn't, if you remove from the sentence, it doesn't make any sense. And the food was really good. It's the b for that. And tells which word depends on each thing. So I would have totally cheated on my exams if I had that before. But that's available for you, too. Content classification. As I said before, it's only in English, but notice here, I don't mention, it says it's baseball, and I said before, I always have a confidence level that says how much confidence it is on the prediction. You don't see baseball mentioned on the news there. You just see some names of a team, maybe, and a player, but he knows that that player, it's from a baseball team, and that he has this probably with 99% chance it's a baseball article, so that's part of it. I have a demonstration here to integrate the three APIs that I showed you before. So I'm going to get the Google Cloud Vision API and going to import an image from our article, translate it to English, detect and see what that article is about. So if you know Portuguese, you may know what this is about. But if you don't know, you can figure it out. So I took a picture from the newspaper, and I have this article here. So I'm going to translate. Let me execute this first one. Okay. I'm going to translate, not translate, I'm going to get the OCR of that image. So notice that it came with the same break lines as the article came, and it has all the tags from there. But when you translate, the break lines doesn't matter because I'm going to tell you, it's not 100% accurate, but it's good enough just to be able to be used formally as a translation. So here it's a translation, and it does a translation even though the tags was not well formatted, was able to do the translation. And on the language classification, it's going to tell you what it is about. And with 82.9%, it's about jobs and education with regards to education. So the article actually was about SATs in Brazil, how the students were going to take the SATs. So it is about education. So that's one of the demos. And as I said before, if I had time, I was going to talk about AutoML vision. So AutoML, it's like, let's say you have... This is all pre-trained models with Google data, public data sets that we got from the internet. But let's say you don't want to use that. You want to use your own data to classify content. And if you use that, that data belongs to you, does not go to the Google's model, only for your model. And in this case here, I wanted to train clouds. And what best place to predict the clouds than the clouds? There is no other place. So I wanted to predict clouds. I know there is way more than five types of clouds, but for simplification purposes, I only did five in here. Yes, I only did five in here. And once you do that, you can train your model because you import the images as you can upload from your computer. If you have a bucket on Google Cloud Storage, you say the CSV, you say the image URL and the label, and you can import that. And once you train your image, you can see here the confusion matrix of how that thing performs. And you can see that Outer Stratas, it's highly confused with Sears and Cumulus. But here, the higher the volume on the diagonal, the better model you have. Probably the problem is with that, it's because I don't have much Outer Stratas pictures. I only have... You need at least 800 of each to train the model, but I only had 135 and all the other ones I have over 400. So that's why it's confusing for the model. And I took a picture, not here, because I tried to take a picture outside and there's no clouds outside. So I took a picture, and I'm going to show you the picture when my... Where's my mouse? So this is a picture in Florida, which was nice. And I'm going to try to predict what type of cloud that is. I'm not sure if the prediction is correct but I'm not a cloud specialist. I once was on a talk that my guy was specifically a meteorologist and he's like, your prediction is wrong. I was like, I'm sorry. But let's try to predict it. And there is a thing called... You need to warm up the model. I hope the model is warmed up to predict. Yeah, it is. So this image was not on my collection. It's a picture that I took myself. And with 97.3%, you can see that's a Sears type. And everything here is tried to sum to one in the end. But you can have it at most one. It's 100% confidence, but that's not always possible. So if a high confidence level, you can see that's a Sears type of cloud. And with that, I'm going to go with questions. And that's it. You're signaling here? Yes. So it was interesting that you said sign language because one of the examples we have is with sign languages. But one of the difficulties is because I don't remember which letter was really complicated to make and was hard to get images. So we had this friend that... I'm not the developer advocate that usually does machine learning. I do it as a side give you sometimes. But she was training the model. Everybody had to learn a bit of sign language to take pictures of her so she could train the model. So, yes, you can do that. But you need to have data. That's the hardest part, you know. You need to train the model to train the model. You need to have images and the label for sure that you know for sure that's right. So you can train the model. So, yes, it's possible without any code. It's really easy because you need to... If you use Google Cloud, you need to go through a project and enable the API because the API comes disabled. So enable the API. And then once it is enabled, if you deploy inside Google Cloud, you don't need to have credentials because you can set up. You can say, if it is on the same project, you can say, hey, it's the same project and it has access to these APIs. But the problem is if you're doing local, you need to create a service account. And that's the hardest part. And what you would do extra step here would be on the... when you call the client here, you would say credential file and pass the file path to the code. So that's the hardest part that would be. Everything else is the same. Yes. Are there any plans to expand that? I don't know. I really don't know. And then my second question is on classification. It comes with the servers. You can actually... There is AutoML for natural language too. So you can create... Let's say you have tickets, support tickets. And you want to categorize which category it is. And you want to be able to predict that kind of... for future tickets. So if you know the label that it is currently, you can train a model based on that. And you get the category, not me. And in the end, have that predicting model for you. Without code again. Thank you.


This is Dan with another episode of my market analysis videos. After reaching a recent peak on July 27th, SPY, the SMP ETF dropped 4% in the last 20 days. On the hourly chart, SPY seemed to be getting support at a 442 level, although it dropped below 442 before market closed today. The daily RSI indicator is at the lowest level since May of this year. The low RSI level seems to be telling us that SPY might be poised for a rebound in the next few days. In the meanwhile, the bearish trend in the last couple of weeks might continue, and maybe some negative catalysts can pull down the market even more. Likewise, QQs representing the NASDA 100 also dropped 6% from its recent peak. Its RSI value is also very low, which might be signalling a rebound, provided that there is no negative catalyst to drag down the market any further in the next few days. Will the market be heading up or down? I looked at the charts and the macroeconomic events, and came to the conclusion that we are at a very important turning point for the market. It would be nice to have a crystal ball to help us see into the future. Unfortunately, I don't have that crystal ball. You probably don't have that either, otherwise you wouldn't be watching YouTube videos for clues about the market. I know, however, that if we catch the early signs of major catalysts or indicators, especially leading indicators, then I can buy during the early phase of a rebound and sell a shorter market when the market starts to take another major drop. It's all about having the right information quickly before most other people, so that we can make profits. So what are these catalysts and leading indicators that I consider to be important? They are, number one, the CPI, consumer price index, number two, PPI, producer price index, unemployment rate, bank failures, housing price, GDP, a gross domestic product, fat funds rate, bank upgrades or downgrades, moving average crossover, LEI indicator, I'll explain more about this later, and finally, Bollinger Bands, MACD, DMI, and RSI indicators. These are technical indicators. I wrote them in gray-colored fonts because I won't have time in this video to talk about them. If you follow my Twitter account, you will see my comments about these indicators when I buy or sell stocks. In the next few minutes, I will go over items one through ten. If you think what we are talking about so far might help you with your investment strategies, please click the like, subscribe, and notification buttons so that you will be notified when I post my next video. It will also help me with my YouTube ranking. Thank you very much. Let's continue. We have a lot of interesting stuff to cover. Let's look at CPI, the consumer price index, and the PPI, which is the producer price index. The July CPI measure year to year went up by 3.2% and month to month was up by only 0.2%. Now because the Fed's target for inflation rate is 2% year over year, a month over month rate of 0.2% is considered to be positive or good for the market. If the month over month rate stays at 0.2% or below for the next few months, the year over year rate will soon be about 2.4%. That means the Fed will achieve its inflation target soon so that they can stop raising interest rates. Once the Fed stops the rate hikes or even starts reducing interest rates, the stock market will shoot up. This is definitely a positive that the month over month CPI is only at 0.2%. The July core CPI, that's the CPI minus food and energy items, came in at 4.7% year over year and month over month is 0.2%. Again the month over month 0.2% is considered to be positive. The producer price index for July month over month was 0.3% versus a 0.2% prediction and because 0.3% is higher than a 0.2%, it's somewhat negative and the July core CPI month over month is 0.3% versus the 0.2% prediction so it's also negative. For the unemployment rate, the July number is 3.5% versus the 3.6% forecast. The unemployment rate has remained low at about 3.5% to 3.6% in the last few months even though the Fed has raised interest rate by more than 5% in the last 12 months. As long as the unemployment rate is less than 5%, it is certainly a positive catalyst for the stock market and for the economy. Let's look at bank failures and bank upgrades and downgrades. This is the historical background. When the Fed was raising interest rates very aggressively to fight inflation back in the 1980s, 1,043 savings and loan associations and those of banks, small banks, failed from 1986 to 1995 and the economy went into a rather serious recession. The stock market also tanked. For 2023 so far, 4 banks failed but compared to the 1980s, the relatively low bank failure rate is certainly a positive sign. However, the bad news is that on August 9th, Moody downgraded 10 banks and that's a negative sign. In addition, Fudge a few days ago issued a warning that they might have to downgrade dozens of banks. That's certainly a negative sign. The main reason for bank failures in 2023 is the fact that the Federal Reserve Bank increased the Fed funds rate by more than 5% in the last 12 months. If the Fed continues to increase interest rates in the next few months, it will certainly have a negative effect on the stock market and on the economy. According to Redfin, the average US housing price went down a little bit in 2022 but started to rebound this year. This is certainly a positive catalyst for the stock market. But if you look at the Case Shiller Home Price Index, it has been going up and up since 2012. The index dipped a little in 2022 but started to pick up again similar to what we saw with the Redfin Home Price. When this index reached a very high level in 2007, here the inventor of the index, Professor Robert Shiller of Yale University predicted a housing crash. The crash eventually happened and brought on the infamous great recession of 2008 and the market crash of 2008. The Case Shiller Index today is higher than even 2007. Actually, Professor Shiller recently said in a couple of interviews that he expected housing price to come down within the next 6 months. If and when the housing price and the Case Shiller Index start to come down, watch out. That's because the collapse of the housing market might cause more bank failures which might lead to a market crash similar to 2008. You can say the Case Shiller Index is slightly negative now. It'll be even more negative if it starts to drop in the near future. GDP. GDP has been going up in the last few months. In spite of the Fed rate hikes, this is certainly a positive sign. GDP usually lacks the stock market. Therefore, it is not usually a good predictor for where the stock market will be. But if GDP continues to drop in the next few consecutive quarters like what happened in 2008, it is certainly a confirmation of a very, very stock market that will continue to sink. That's why we have to keep our eyes on the GDP numbers. The Fed funds rate has been up by more than 5% in the last 12 months. If the Fed continues to increase rates, it will certainly bring down the stock market. I consider this to be a negative sign. The flip side is that if the Fed pauses the rate hikes or starts reducing interest rates in the next few months, it will have a positive or bullish effect on the market. When a short-term moving average crosses under a longer-term moving average, the market is considered to be bearish. The flip side is that when a short-term moving average crosses over the longer-term moving average, the market is considered to be bullish. On the chart for SPY, I'm showing with the blue line the 20-day Simple Moving Average or 20SMA, which is the middle of the Bologe band. The 50SMA is a blue dash line, the 100SMA is a yellow dash line, and the 200SMA is a red dash line. We can see that the 20SMA crossed above the 50SMA back in April of this year, which confirmed the bullish movement of the market back then in April. Even with the market drop in the last two weeks, these moving averages have not crossed over yet. That means it is still a fairly positive picture. Since the 20SMA crosses below the 50SMA, or if the 50SMA crosses below the 100SMA, etc., it'll be a very negative or bearish sign. Typically, when bearish crossover of these major SMAs happens, more selling and more market drop will be triggered because of the crossover. Let's talk about the LEI indicator, or Leading Economic Indicator, which is published by the Conference Board and is often a good predictor of market movements. This is a chart showing the LEI and GDP. As we can see, when the LEI goes down, GDP goes down, soon after that. Let's show the SPY ETF for the same time period. We will also draw these vertical lines to show the times when the LEI indicator crossed below zero and when the LEI started to rebound. We can see that for the years 2000, 2008, and 2020, when we had market crashes, the LEI dropped below zero shortly before the market crashed. After the LEI started to rebound, the market rebounded soon after. As of June of 2023, LEI is certainly negative, which confirms the fact that we are below the all-time high achieved in the beginning of 2022. The good news is that the June LEI number showed a small uptake from the previous month. If this uptake continues into a rebound, it will predict a stock market recovery. However, if the LEI turns downwards again in the next 2 to 3 months, the market will most likely drop more. For now, I will consider the indication from LEI to be negative. This is a quick look at the various components that make up the LEI indicator. I won't take up your time by reading the words. If you are interested, you can do a screenshot of the screen to read the words or you can Google with keywords LEI indicator to learn more about LEI. To sum up what I've been saying in the last few minutes, I would say that the market started to drop in the beginning of 2022, then recover somewhat from October 2022 to July 2023. It's been dropping since the end of July. As far as the catalyst or indicators that I consider to be important, the CPI index so far is positive, PPI somewhat negative, unemployment rate positive, bank failures or the lack of bank failures positive so far, housing price positive, GDP positive, Fed funds rate big negative, bank upgrades or downgrades somewhat negative because of the downgrades of the 10 banks, also the Fitch warning about potentially downgrading dozens of banks and if the downgrade of the dozens of banks became the reality, then this indicator will be even more negative. Moving average crossover so far is positive, the LEI indicator so far is negative but might be turning positive in the next few months. If we see more of these catalyst or indicators turning negative in the next few months, that means the market will likely go down. On the other hand, if we see more of these catalyst or indicators turn positive in the next few months, that means the market will likely go up. I'll be watching these catalyst and indicators very closely. What are my investment strategies in light of all these? In the last two weeks, I saw one-third of my long positions to lock in profits. I started to nibble and bought small amounts of T-Triple-Q and NVIDIA in the last few days because I wanted to buy on the dip. After I performed the analysis, I just explained this video and as the market closed down today, I saw shares of NVIDIA I bought on August 10th to lock in profit. I will sell more long positions and buy short positions like S-Triple-Q, EAP, SPY, and T-Triple-Qs continue to fall after today. I will monitor the catalyst and indicators mentioned in this video to catch leading signs of market movements. I will continue to hold some shares of stocks with good fundamentals such as NVIDIA, ASML, Google, Apple, Meta, Tesla, and SoFi Bank. I will monitor the technical indicators such as the Bolonger Bands, RSI, MACD, and DMI. I will inform my Twitter subscribers almost on a daily basis about my trades and my comments on market news. At this point, I'd like to remind you to subscribe to my Twitter or now it's called X-Account which is DanMarketL. In addition to subscribing to my YouTube channel, for example, on August 7th, I tweeted that I sold one half of my remaining SoFi shares bought on June 26th at 10.8% gain. And then on August 10th, I tweeted that I bought more T-Triple-Q because the CPI numbers posted on that day came in fairly low. And then on August 10th, remember when we have a low CPI number that's positive for the market. On August 10th, the same day, I sold one half of T-Triple-Q I bought earlier that day because the market started to turn south and I cashed in 2.1% profit. And then today, after market, I sold one half of the NVIDIA shares I bought on August 10th and profited 2% gain. SPY lost the 442 support today, which is a buried sign. I'm still holding some NVIDIA shares that I bought on August 10th and June 8th. Thank you for watching all the way here. I'd like to remind you to click the like, subscribe, and notification buttons. As usual, I will very much appreciate your comments, questions, and suggestions. If you know of any good leading indicators of market movements that I have not discussed in this video, please send me a comment. I might include more of these indicators in my next market analysis video. I'd like to remind you that I'm not a financial advisor. I share my stock trading strategies and analyses for educational and entertainment purposes only. If you want to buy or sell stocks, you should make your own decisions and you should definitely consult with your financial advisors before you do so. This wraps up my video for now. I will chat with you again in the next few days. In the meanwhile, I'd like to wish you the very best of luck with your financial investments.


Climate change is a threat to our coastal communities. But we can improve how we respond to these impacts. By working together, we can make our communities stronger. Planning mangroves, building on stilts, collaborating with local government authorities, and heating early warning systems are some small and easy ways to better prepare for the effects of the climate crisis. We can better safeguard our lives and livelihoods when we adapt to climate change. But we must act now.


Hey everyone and welcome to Knowles Cove. Welcome back. I'm Yoshida here at the Cove. I like to plan my life minimally and functionally using a planner. Also we do budget planning here so if that sounds like something that you would be interested in please stay tuned. Okay you guys so it is July. Today is July the 2nd. I am using the cloth and paper. They're horizontal. Let's take those out and last week we went over I showed you guys my weekly compass card so let's kind of go over that and y'all I tried to perfect it. This is about as good as I got. I'm still not pleased with it. I did a couple of them even like some for a set but it is my printer so I need to figure that out but I started my fast and I was supposed to do my fast for two weeks. I ended my fast on Saturday. I did not do any walking, prayer every day, meditation. That was a little half and half. Low spring time I'm not even sure. I doubt it so I'm going to cross that out. Skincare. I have done that you know. Schedule a date. I did not schedule a date with my husband.  We planted flowers and mulch so we didn't do our skincare but we did plant flowers and mulch. I didn't post more. I was patient with my customers and I was kind. On the back of Norris Cove. I didn't do any lives last week. I thought I did I don't think I did. I can't remember. More engagements, videos. I actually did a reel but I never posted it because I was in between doing something so it disappeared and I didn't save it. Content and reels. I need to work on that. I did talk with my sister. I did reach out to my aunt on my dad's side but I didn't talk to my other siblings besides Facebook. I'm trying to do better. My niece actually FaceTimed me. My great-nephew is walking now so that was exciting. And as a daughter called mom. I did. I talked to my mom several times last week so I did do that. Y'all if my hand looks a little orange I use the saison seasoning but my hands are clean. And to season my dinner my chicken and so yeah that's a mess. So we're going to get into this week's compass card and I do love it but again I have to perfect it before I decide to sell it but these came out pretty good. It just wasn't going to the bottom so I did fix that but it still was kind of off. So what are we doing for me? I'm going to fill this out and then I'll come back. Okay guys so this is what I have on my weekly compass card this week. For shopping the saw I want to exercise, meditate, prayer and get into my bible. I do bible journaling. I use either Mary and Martha's plans or Anika's creative plans bible journaling and I've been doing Mary and Martha excuse me probably for majority of the year the whole year so I think this month I'm going to go with Anika's. I go back and forth between the two just to give myself a little bit of you know just a different, just search things up for me. The clutter that helps my mind. As a wife I want to spend more time with my husband maybe do a moving at home because we're going out of town this weekend so there's no need like to plan a dinner date so maybe we'll just stay in. As a mom more time with my kids that could be skincare anything and I will list whatever we decide to do here and as a hairstylist just more accommodating to my customers because sometimes like after two o'clock I'm down for the count but excuse me so just be more accommodating this week especially since I'll be out of town and just more patience and then as a business owner more content more reels more lives as a sister reach out call my siblings and then excuse me as an aunt I want to face time with my niece and my great-nephew and as a daughter called my mom so pretty much a little bit similar to last week so I'm going to slide that in and then let's kind of quickly review last week so last week went pretty good and that was another thing you guys I didn't really I did check some things um I did get a hot spot done I'm not for sure if it was on a Thursday I did it man Friday I don't think I did my 15 minute tidy because I was at work most of the day all the bills got paid except for um insurance which I'm going to take care of this week I did take care of my doctor's appointment I did go to that um I didn't film monthly but I did film my budget and next week normally bills means the schedule um I did take care of those so far I did a little bit of decluttering not a lot we did take care of the yard I did get the towels I didn't get any paint um I need to do a deep clean I'll move that to this week and sell a marketplace I do have something on marketplace right now and then schedule bills which I did take care of so let's get into it so if you are new here this is how I like to plan um I go through I put in my schedule for work bills do um right now I use this column for that and then um any events and travel that goes here and then normally on my personal um inserts that I've made I normally put over here business stuff and personal through here so I'm going to try to divide this up using my mind and we'll see how that goes um I do have some stickers here um I'm going to use some of my mocha teenies um and some other little things here um especially these from cloth and paper which are the spotlight stickers and I've been using Ibiza and I love them so let's I think those two go together so I'll probably speed through this and come back and then I decorate after all this I decorate so now I'm looking at my monthly and in my monthly I look at my bills what is coming up so we're on the third through the ninth and then as you see I have family union marked off and then we're going to go to Atlanta first and then go back on Friday to um Charlotte which is like four hours away to family union and so let me put it on my bills I have InDesign do on the ninth so let me put this in and I'll be right back okay you guys so I got my bills in I got my work schedule in um what I'm going to do with the teenies I keep forgetting my tweezers but what I like to do with the um teenies or the dot stickers is I'm going to highlight days that I have or just um like firms or bills so that's what I'm going to do with these here and I'm just going to put them right there and what this does it draws my attention to the the bill or what have you without being you know too too much for me and I have a bunch on this day so and then sometimes what I do in my monthly calendar is credit cards will get one color um after pays or firms will get another but like in my weekly just to kind of keep it cozy so I just do um why it just depends how I'm feeling but today I'm feeling like the teenies because someone ordered these and I was like you know what um I haven't given mocha a try I haven't used mocha in a long time so um yeah I'm using mocha and then I'm going to use one of these from cloth and paper because um whether you go out of town and my family union starts here on Friday so I'm just bringing my eye to that and then I'm going to use a smaller one I'm going to use a smaller one there y'all it's real simple this week um now now what I want to do while I have y'all on camera I've kind of highlighted the things I need to bring my eye to I'm going to my routine section in my planner and pick off some things that I want to do so on Monday it's wash and I think I missed last week so definitely going to do that and empty little dishwasher that's kind of a given but um little dishwasher now in my imaginary line over here for business I think I'm just going to go ahead and put that here oh we need to fold laundry and business wise I know that um I have to place an order for something or to be here on time I'm just going to put final order tbb order and then I need to um ship orders okay Tuesday um we gotta do a hot spot that is 4th of July hot spots I'm putting countertops and microwave okay and I'll probably still have more longer to do um also I might want to do a whole bunch of grocery shopping this week but I do need to go to the grocery store this day if I don't do it on Tuesday I'll probably end up doing it on Monday all right let's get into Wednesday Wednesday we're doing laundry we'll probably be left over from Monday um we're going to do a hot spot and then also I need to pack and then Thursday I'm working that day um at 7am but we leave we're going to try to leave around 10 o'clock so I really won't this will be just a travel day this whole day is gone so just drew a little arrow there and then Friday it's another travel day and then this is family union so there's not much to put there um I have some credit cards to do these are the highlighted stickers yeah I promise they're gonna make a appearance in the shop soon I've had these for about a year and a half and I just because I want to do all the colors and I just um just haven't found the time to do all the colors we're going to the grocery store um is also I got these from sweet caress let's find four for july on here independence day and I'm going to take these from sweet caress and I'm going to put that on Monday because I need to set out the emails okay and oh we're going to do a budget so we're doing our budget I'm going to probably do my budget tomorrow on Monday and put slash film that's it I normally fill this out um during the week when I have a little more time to be just intentional with this but I did get these from I got these transparent sticky notes thanks to planet girls rock on Instagram I ordered these from amazon so I'm gonna put one right here in matter of fact my travel bag this is a travel day here we'll be coming back on sunday so that's it um I'm gonna leave that there that's it y'all that is it that is my weekly plan with me I'm going to snap these back in um I may do it daily tomorrow not sure let's get to the weekly compass card so yeah um this is what we got going on for uh july 3rd through the 9th so um I will see you guys next week if you enjoyed today's video give me a favor hit that subscribe button also hit that notification bell and I'll see you guys in my next video


The Navy recently established the 21st century sailor office to address major issues like hazing, sexual assault and suicide. We sat down with Rear Admiral Sean Buck who heads the office to talk about its mission. I've been chosen to be the director of it and the purpose is to try to better integrate, better synchronize and tighten up all of the great programs that we've had over years that work toward affecting the resiliency of a sailor but that have never worked together. It allows us to ultimately get to the CNO's tenets of warfighting first, operating forward and being ready. We're trying to make sure that sailor is resilient and ready to go. You can see more of the interview in the coming weeks by visiting navy.mil and all-hands magazine online. From the Defense Media Activity, I'm Petty Officer Brandy Wills.


Thank you, Sarah. I love love that passion.  At FMBO, we believe deeply in a purpose-led approach focused on the communities we call home and our valued partners. That's why we are so committed to supporting educators and organizations like the NEA Foundation that work tirelessly to help meet the needs of educators and students. Educators are core to our communities, essential to their vitality and vibrancy. Just as every successful person can name at least one teacher that helped shape their life, we all know that educators collectively help ensure that our communities and our young people are positioned to succeed. On behalf of all of my colleagues at FMBO, it is my privilege to recognize an incredibly deserving organization that shares our purpose-led philosophy and deep commitment to enabling young people to pursue success through innovative arts and technology education. Over the past three decades, urban arts has served more than 2,000 educators and 260,000 students across 150 schools. 90 percent of these students are from low income households and 92 percent are students of color. FMBO is incredibly grateful for Urban Arts' important work, yeah, and we are extremely excited to have the CEO of Urban Arts, Phil Courtney, accepting this year's FMBO Award for Outstanding Service to Public Education on behalf of Urban Arts. One bunch. Yes, you are. I'm Philip Courtney, the CEO of Urban Arts. In her award letter that I received a few months ago, Sarah Snead said this year the foundation wanted to lift up an organization committed to closing the opportunity gap for historically disadvantaged students. And Urban Arts' focus, our focus on technology and arts fit this description perfectly. So thank you, Sarah. The NEA Foundation and FMBO for this tremendous award. It is an honor to be in the company of such distinguished recipients. So at Urban Arts, we believe that a quality education should not depend on a child zip code and that historically disadvantaged students should have a front row seat to the future economy. And I think we all share those beliefs here tonight. As Sarah noted, our approach is to tackle two inequities in education. The first, the lack of access to arts. And secondly, the lack of access to technology. The first, arts is a human right. But the second, technology has the capacity to be the great equalizer. So the magical relationship between arts and technology has existed for quite a while, right? The Egyptians, Leonardo Da Vinci, the invention of photography, all of which were expressions of their time. Well, in our time, our version at Urban Arts goes like this. We teach underrepresented students the art and technology of game development through computer science, coding, animation, music and storytelling. Yes, we teach our kids how to make video games, not play them, make them. They also play them. Why? Because it is super fun and you're more likely to persist through learning how to code if you get to make a game at the end. Artists become technologists, technologists become artists and all become the proud owners of a portfolio of work that gets them into college to study a STEM subject. Thank you. You are so nice. We also provide first class college access services to ensure that our students are the maximum in college scholarships. Why? Because too many first generation students drop out of college or delay graduation due to financial insecurity. We want our students to graduate with no debt or as little debt as possible. Just in the past few years, our students have earned more than 15 million in college scholarships. And lastly, we connect our alumni to mentorship opportunities at media and tech companies generating that new important diverse talent pipeline. The video game industry alone is a $200 billion industry and it's growing fast. But 80% of the people who work in that industry still look like me. They look cooler than me, but you get what I'm saying. So we want to change that. We want them, our students, to have a seat at that table. We imagine a world where historically disadvantaged young people gain economic mobility through meaningful careers as creators, leaders and thinkers in the media and creative tech fields. That's our vision for the world. Thank you for sharing our vision and supporting it on behalf of the students we're serving and the teachers who are bringing our vision to life. Thank you so much. We are truly grateful. Good night.


Hi, and welcome to this next lecture on data structures and algorithms. Starting today, we will discuss some algorithms to find roots of equations. So, we are looking at the equation of the form f x equal to 0. What we will discuss today is a method called the bisection method to find roots of such an equation that is solutions to f x equal to 0. Now, we are typically interested in a non-linear equation. For the linear equation f x equal to 0, solution should be very straightforward. Basically, we are looking for the x coordinate corresponding to the y intercept of 0. So, it is very trivial for linear equations. It is nothing but the intercept on x axis. Pictorially, this is what we mean. If this where your equation f x equal to 0, this intercept x dash would correspond to f x dash equal to 0. However, what you do when you have non-linear equations and here is a depiction for a non-linear equation. The binary search method basically is an iterative method instead of a one-shot solution such as in the case of the x intercept. You start with some 2 points. Let us say point here and point here and we will canonically call these points a and b. So, given a function f x, we will assume that it is continuous on this interval a, b. Let us say the initial guesses are a and b. We will also assume that the function actually has at least one root between a and b. So, we might initialize a and b to be sufficiently far apart to ensure that the function does have a root between a and b. And of course, a sufficient condition for such a continuous function to have a root between a and b is that they have opposite signs. So, sufficient condition is that the sign of f at a is minus of the sign of f at b. This basically means that the product of f a and f b is negative. Now, this is a sufficient condition not a necessary condition. So, it is possible that f a into f b is positive and it still has a root and classic case for us is going to be the squared function or x raise to an even power. So, consider function like this. This could be f x raise to 4. So, this indeed has a root at x equal to 0. However, f a into f b is always going to be positive no matter what your choice of a and b is. So, therefore, this is not a necessary condition. It is only a sufficient condition and unfortunately, binary search method operates under this condition. Finally, it guarantees finding only one root. So, it is possible that functions just this. Let us consider this function. Now, it is possible that your initial choice of a and b are such that they cover two roots. Only one root is guaranteed to be found using the bisection method and we will see why by virtue of its reduction of the search space by half. It will either omit this root, the root on the left or the root on the right. Only one of them will be found. An example of such a curve is a sine curve. So, you have sine also look at the cosine functions. So, here is the algorithm for bisection method. You begin with points a and b such that f a into f b is less than 0. Now, all these search algorithms operate on certain tolerance parameters. In fact, here we have two tolerance parameters. One is the tolerance limit on the function itself. So, which means that you will stop when f of c is less than tolerance value. But there is also another implicit tolerance parameter, which is number of iterations. This is tolerance based on argument. So, for example, you might have a curve which gets to 0 very gradually. So, let us consider the following curve. Now, a curve like this gets to 0 very gradually and it is possible that even after lots of iterations you are hovering around 0, but not exactly a 0. So, until you have this maximum number of iterations and the tolerance is reached, you do the following. You basically set the upper and lower limit for further division. So, imagine that a and b were the original probe points. We look at the midpoint and let us say orbit point was somewhere here. C was here. You then check if a into c is negative and a and f a and f c have opposite signs. If yes, then you know that a new search space can be here. So, this becomes your new search space. How do you do that? You do that by pushing b to c. That is what we have done here. On the other hand, it is possible that c is on the other side. So, in that event, if c were on this side, you would set a to c. You would push a c and search for the interval cb. So, you have to keep track of the iteration number and then further look at the midpoint of the new interval. Please note that the algorithm stops or terminates when both these conditions are satisfied. So, by design, it is guaranteed to run for the n max number of iterations. This method is guaranteed to converge by design because of both the tolerance parameters and because there is an increment in every iteration. Further, your search interval is half for every iteration, which means there is a size of the interval after k iterations assuming unit initial interval will be 1 upon 2 raise to k. So, as you can see, there is an exponential dk or exponential shrinkage in the interval size. Despite all this, the convergence is slow. The question is therefore, can we be wiser in our splitting of interval? Could we do better than half? And is it necessary that you need to go on for n max number of iterations? Is it possible that you stop earlier? Is it possible that the algorithm becomes adaptive? Can the shrinkage be adaptive as you get closer to convergence? So, we leave certain questions. One, can we reduce interval for search by factor less than half? Can we adapt shrinkage and so on? In fact, if the initial guess is closer to the root, it will take more iterations to converge privately because shrinkage is relative. So, we would like to detect if you are closer enough to the root. And most importantly, this algorithm has severe limitations in what it can deal with. So, reminding ourselves of one function for which we said the algorithm one function is the quadratic function fx equals x square or you could even consider x raise to 4. Now, there is no way you can find a and b with opposite signs for the function. On the other hand, we know that there is a root and we know that if you were to find a and b and b able to half the interval, you would actually find diminishing values of the function. How do you do that? Also, this would not work if the root is at infinity. So, one upon x is a classic example. So, here is the equation fx equals x square which cannot be solved using this method. The equation fx is equal to one upon x has no root. But it is interesting that it just changed sign. So, just because you change the sign as you go from say a potential point a here to potential point b here, you are going to actually search for a midpoint shrink your interval. But you realize that unless you move away from the interval a, b, you will not get to the root. So, it is a fundamental problem with the assumption that if a and b have their signs changed, the function changes signs between a and b, then the root will be between a and b. But recall, our assumption was subject to the assumption that f is continuous between a and b. So, note that f was to be continuous in the interval close interval a, b which is not the case here. So, only under this condition was the change of sign a sufficient condition. So, what do you do if these conditions do not hold? More about this in the following lecture. Thank you.


And when you wake up in the morning, you roll to the right and get up. You never roll to the left because the first movement that you make, if you make to the left, you could cause some minor damage to the system. You always roll right. Both physiologically, energy-wise and psychologically, right is the more stable side. Left side is little more fragile because left has the responsibility of having your heart, which has many layered significance in the physiology. Not just of pumping blood, it has a many layered significance.


Georgia anti-vaxxers shut down mobile vaccine event. That is a headline that in and of itself makes me feel so hopeless, so depressed, they shut down a mobile vaccine event. These mobile vaccine pop-ups are usually really effective at getting members of the community to come out and get vaccinated, but they shut it down. So anti-vaccine protesters in Georgia have disrupted several mobile COVID-19 vaccination drives and caused one to shut down completely, the Atlanta Journal Constitution reported. The Office of Georgia Public Health Commissioner Kathleen Toomey told the newspaper Monday that public health staff at vaccination drives have been harassed, yelled at, threatened, and demeaned by some of the very members of the public they were trying to help. At a press conference Monday, Toomey said they had also received hostile and embarrassing emails.  This is wrong. This is absolutely wrong, Toomey said, according to the Make and Telegraph. These people are giving their lives to help others. We should be thanking them for trying to get life-saving vaccines to our state. The mobile vaccination event that was shut down was set to take place in North Georgia, where a group of protesters showed up to harass public health officials according to the Journal Constitution. So you have people who are anti-vax. They show up to anti-vaccine mandate rallies. They show up to anti-mask rallies. And then you have people who are even scumier than that and they do things like this, where they actually try to obstruct the effort to vaccinate more people. They're trying to stop people from getting this life-saving vaccine that is highly effective and safe.  They are scum. And there should be criminal charges filed against them. This is just disgusting. And in the state of Georgia, you know, Brian Kemp issued an order last week deploying more than 100 National Guardsmen to hospitals around the state to support staff amid the rising cases. This is not the first state who had to deploy National Guard. My state of Oregon had to deploy National Guard as well. And you have people around the country trying to do their best to bring vaccines to people, go to communities that don't necessarily have access to, you know, some store that's offering vaccines, perhaps more rural areas.  Just truly disgusting. And, you know, as people continue to get COVID, as the Delta variant continues to ravage the country, things like this are going to continue to happen. Unvaccinated 19-year-old died of COVID calling for her mom through a mask. Her mother says they did not get vaccinated due to pressure from friends and family and it's a decision she regrets. 19 years old.  This is a 19-year-old that died. 19-year-olds dying from a virus. That is not acceptable. That is not okay. And it's not just like 19-year-olds like we're seeing pediatric hospitals reach full capacity in some states. To not take this seriously is truly callous and just cold-hearted. So a healthy but unvaccinated 19-year-old died after spending two weeks in the hospital with COVID-19, leaving her family devastated that they'd chosen not to get vaccinated despite the threat of the Delta variant. It's sad, right? When you're 19, you're so young. You're so naive. So really, I blame the family here. I blame the family.  And unfortunately, a lot of people, they're not going to understand the seriousness of this virus. They're not going to understand the importance of vaccines until it's too late, like in this story, where now they wish that they did get vaccinated because one of their family members at 19 died. That is tragic. That is so sad. This is a child died from COVID-19 because her family shamed her. Every single member of her family that shamed her and pressured her to not get the vaccine, they have to live with this for the rest of their lives, knowing that her blood is on their hands. They should feel disgusted. They should feel absolutely embarrassed at what they did. They should hide their faces from the rest of their family, never show their faces in public again. Like, they killed her. Whoever shamed her, they led to her demise. Breonna Gray, who was set to be a freshman at Navarro College this fall, had no underlying health conditions when she contracted COVID-19 and entered the hospital on July 31, according to Fox 4. The Texas teen stayed there for more than two weeks before dying after being on supplemental oxygen. Nobody in her family was vaccinated. Breonna's mother, Tabatha Gray, told Fox 4, and it's a decision they all regret. Yeah, I bet. I bet they regret that decision. The last words Tabatha ever spoke to her daughter were ones trying to calm her down over the phone as the 19-year-old's condition worsened on August 19th and she died hours later. This is so heartbreaking. You just hear her screaming through the mask for me. And that was the last time Tabatha Gray said, and the last voice I heard is her yelling for me in her mask. The entire household was unvaccinated and that led to all of them contracting the virus. However, only the teen felt seriously ill and ended up in the hospital. It's just, what do you even say to this?  Nothing is going to resonate with them unless they experience it firsthand. They're not going to be moved. They're not going to be moved. And what's disgusting about all of this is that like the people who are peddling anti-vax nonsense, they're acting as if they're the victims.  But like, look at what we're seeing here. Anyone noticing a personality change in their jabbed friends? What, like maybe your friends are getting irritated that you aren't getting a vaccine that could save your life?  You, ugh. I can't with these people. I can't with these people. Yes, OMG. I thought I was the only one who noticed this.  How dare they? These jabbed people, they're the bad guys.  Big changes in some of them. Not had anyone close-ish to me get it until last night. My 20-year-old daughter's friend got Pfizer two weeks later is in the hospital with some heart issues she told me. Yeah, correlation doesn't equal causation. For some of these people, if they know someone who got vaccinated, if they have any medical issue, if they have a tummy ache, they're going to attribute that to the vaccine. That's what they're going to do. And that will just further, you know, solidify this belief in them that the vaccines are bad. They'll do this. Oh, I know this one person who got vaccinated and then, you know, they had a headache for like a week. It's definitely from the vaccine.  Well over more than 160 million at this point. I mean, why would you be more afraid of this vaccine that's killed zero people compared to a virus that's killed 600 and what, 20,000 people? Yeah, captivating chameleon. Pfizer vaccine with no issues. I got the Moderna vaccine, was sick for a day after my second dose, felt better on day three. I mean, I just, I don't get their thinking. It's conspiratorial. It's a little bit of that, a little bit of stupidity. This person is memeing about oh, so you were zombies. I think some people think that the movie I am Legend with Bull Smith where they found like a vaccine for cancer and turned the world into like the zombie apocalypse. Like, I think people believe that that was actually nonfiction, that it was some sort of a prophecy because the beliefs that people express is so embarrassingly delusional. So far not mind. They still realize the choice one has. That is so true.   They're being bullied and pressured because maybe they had a friend get irritated at their anti-vaxx misinformation. I mean, certainly if you ask my friends if I changed since getting the jab, I don't know that they'd say that I changed since getting the jab, but they've certainly realized that my patients has run out. My patients has run out. I log on to Facebook after not really going on for a while and I see like this huge array of anti-mask, anti-vaccine bullshit. It's so frustrating. So what do I do? I respond by trying to drown out their misinformation with facts. Now, I'm kind of losing hope in terms of how to get through to these people, but I do want to read this article for what it's worth. This is from Sophie Stroud, published in the Huffington Post. She says, I was an anti-vaxxer this year. I changed my mind. Changing your mind, especially strongly views held is hard. So we're going to read through some of this to see maybe if she has any insight that can help us convince our loved ones because look, we all know someone who refuses to get vaccinated. And we all care about these people. We want to make sure that they survive. So it's so frustrating that they, they feel as if, you know, us looking out for their well-being is like some sort of an attack. It just goes to show you how prevalent misinformation is. I mean, anti-vaxx sentiment was really this fringe thing. And then as, you know, Facebook exploded in popularity. So too, did all of these fringe beliefs, even like there's, it feels like there's more flat earthers now than ever before. It's just truly like we live in such a discouraging time. You think that you think that because we all have cell phones, like we all have basically unlimited information at our fingertips that we'd be smarter than ever, but we're dumber than ever. So back in the early days of COVID-19, when there were whisperings of possible vaccines, I was a hard no. Summer arrived and along with the heat came all the rumors of possible side effects. I was still saying no, I won't get it. Fall arrived and with it another wave. I lost track. Was it the third wave, fourth of infections and hospitalizations? The number of people dying from COVID kept rising. I along with so many others realized that our hope of this pandemic ending this summer with summer hadn't come to fruition. It was around this time that I realized. Sorry. It was around this time that I realized I might need to pay a bit more attention to all of the vaccine talk. And instead of just shaking my head, actually learn more and not from random people online, but from actual experts. See this right here? You can't insert this instinct into somebody. Most people, if they are going to have a change of heart, they have to have that spark that ignites in them because of them to want to search and actually do more. Find out what the facts are. I don't know how you trigger this in somebody. Force them to be introspective.  Because before, when you tell people to do research and look things up, you would expect them to find authoritative sources, legitimate sources. But now they can easily be duped by misinformation that is seemingly legitimate, that will use medical jargon that seems pretty valid, but it's not. And that's where people are getting duped by this veneer of professionalism, but it's just misinformation. So I still turn to people online, but this time it was epidemiologists and immunologists who were experts in viruses and vaccines. So, I mean, people, they'll turn to some other quack doctors. So, you know, I like that this person is writing this article, but I don't necessarily feel like this is going to yield any valuable information from our standpoint of trying to convince other anti-vaxxers because they won't even hear facts. They'll tune it out.  See what the last paragraph is here. Changing your mind, especially strongly held views is hard. It's hard to recognize that you were wrong or that you listen to the wrong people, but you know what I've realized. It's also very liberating. That is true. It feels good to allow your views to shift as you gain new information or new experiences and to recognize that as growth, rather than digging in your heels and trying to remain true to something that no longer feels right to you. Let's normalize changing your mind. Let's support people who choose to grow rather than stay stuck. And let's end this pandemic by choosing facts and kindness, even when we totally don't totally agree.  It is liberating to actually change your mind, right? It's liberating to know you were wrong and then make that shift. So, yeah, I mean, that's all I'll say about this. Anti-vaxxers are... I hope that they don't find out the hard way, but unfortunately for most of them at this point in time, if you haven't changed your mind yet, I think that you're not going to find out unless, you know, you get COVID.


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Before we get into the video guys, I am giving away 11,500 Apex coins every single month. To be with a chance to win them, make sure you are subbed to this channel. Drop a like on the video and leave a comment down below. More details on the giveaway are in the video description. What is going on guys, welcome back to the channel and I appreciate you being here. Today I bring you another Apex Legends video and today I bring you a quick update on a new weapon coming to Apex Legends. A weapon we all know will eventually be here and now I think we finally have a possible release date. But before we go any further guys, if you do enjoy the video and would like to show you support you can by hitting that like button. If you are new around here and enjoy Apex Legends videos, be sure to subscribe. Okay guys, so the Aelstar, an energy LMG known as the Aelstar EMG was day to mind a while back. Actually not long after the game was released. We have seen numerous leaks since dating it was coming alongside or near alongside the Havoc rifle which we also saw day to mind. The Havoc is here and it seems as though it's quite a fun weapon to use. Definitely a different weapon than what we're used to but it's fun at the same time. Well it seems as though now we have information on a possible release date for when the Aelstar will be available in-game thanks to a recent data mine. So on screen now we see this leak thanks to gaming intel whose website can be found linked within the video description. It states Loot main weapon energy AR edition 20 which is the Havoc rifle which we've already had. Under that it states Loot main weapon Aelstar edition 30. So what does this mean? So the numbers next to the actual weapons I believe represent a date in which the weapons became or will become available in-game. The Havoc rifle arrives on the 20th of February it has the 20 next to its name. The Aelstar it seems will arrive on the 30th of February while there's only one problem there. There are only 28 days in February and data miners believe this suggests it will arrive on the 2nd of March which will be on Saturday. Oh guys this could mean it's coming on March 30th which is also a Saturday. This also means people it falls in line with the release window of season 1 which also comes with that battle pass because if we look the roadmap states this season 1 will be coming in March but it doesn't state any particular date. Also guys another leak states we will get a preview of a new legend coming to the game upon week 8 which falls into the same day window. That 8th week I believe will be between March 25th and June and if you see that leak on the screen now we should be getting a preview of a new legend called Octane right here. So if one is to put two and two together March 30th falling in line with all of these leaks could be the day we get season 1 the battle pass Octane and the Aelstar but this is just me dropping an educated guess. I could be completely wrong but we will see people. The Aelstar though as we know is a weapon which is within Titanfall 2 and is actually a great great gun. Within Titanfall this LMG has infinite ammo but it overheats. Now recently in my leak suggests that this isn't how the weapon will operate in Apex Legends. We can see a few of the weapon stats on screen now. By ringmills it shoots 720 rounds per minute which is quite quick it does 42 to the head and 21 to the body and we also see it's got an ammo clip size of 60. Now I'm guessing looking at these stats this weapon will shoot stupid fast and be pretty hard to control at a longer range and it won't have that infinite clip and overheating like we see from the Aelstar LMG in Titanfall. We also see a few of the stats on screen if they interest you. Another thing to also people which a lot of people didn't notice I have covered it in the past video though Blood Hand within the main menu is holding the Aelstar LMG. So this little beast has been planned for a while that is for sure but give it time people and I'm pretty certain a new trailer for the Aelstar much like what we saw with Havoc will come soon. But yeah people just know that in my mind the Aelstar will be the next weapon we get. And on that note guys we have come to the end of the video. If you guys enjoyed it leave a like really does help out. If you are new around here and enjoy daily Apex Legends videos like guides, top 5s, gameplays, reviews, news just about everything make sure you subscribe and if you never want to miss a video I upload people you can turn notifications on by hitting that bell button. But guys thanks as always for stopping by and hopefully I will see you on that next one.


What's going on everyone Sam here late in sports cards. We're ripping three boxes of 2022 Bowman chrome hobby for Stephen S. So good luck here SG. Let's do it man Good luck Gonna be a fun one. I'm coming up the 24th to the 28th Hey bro my sister's house no idea what the plan is If I can get out of there Stuff there with Party or anything going on Tell the fans. Yeah, honey Alert them for sure. They know God rookie refractor Jake burger. That's gonna be the variation. There you go SG good start right there for a man Well be Marta y'all kill Fernandez. Hey Jonathan. Mahia on the first base auto great start right there SG Fantastic start one of the prospects. You're looking for a buddy. Let's go Nice, Mahia nor hey Vera Colton Couser. It's a banger Jay Allen your Donny De Los Santos Oscar Coloss couple of good firsts at the end there Kind of fit the crown Bring warm clothes, and I'm gonna come that I get to do Is that my ex-wife really? Yeah, bring one close I know especially I don't know We've got J rod on the teal ray wave color match Let's go SG to 1 99 That is a banger. This is a mag. I think right here. Let's go as she Look at that teal color match on that. That is a massive hit. It's getting magged. That's getting magged right there Let's go, baby Back of the dugout. Okay. Yep. Yeah, you're good. Let's go. We got a green auto coming up here, too That's gonna be a Luis Mesa 73 out of 99 that is awesome, dude. Let's go. Congrats SG Give money to late and then hard rock. Well, I appreciate that Nice maze that he's like the chase for the blue jays, which is good too. Hey, when you go to the hard rock You have to go find my brother my brother works there Just go say what's up? Z kill tow bar There's a J rod at base rookie Shimmer Garrett Mitchell Virgola one-minute show.   There you go SG. Congrats, man. Hey nice one there Those bowman ascensions are nasty Interesting interesting Christmas, yeah true Teal ray wave that's gonna be Ronald Acuna. There you go. Nice one there 64 out of 199 Stud right there. Yeah, bowman chrome color anytime dude, especially the stud. Oh, yeah Let's see if you got a color auto in this or if we got a base. We got a Jeremy Pina on top nice How Lewis we've got auto yeast and morbell nice one there for the Rangers No, actually got the Rangers and I think a choice case once pull the ton of ranger stuff Yeah, nice one there Samuel Munoz Marcello Meyer That J rod rookies in that That's all that might be a grading candidate right there SG plus What was I gonna say The Mesa is really nice to the green Mesa you some Mercedes All right, plus the bowman ascension to the bowman ascension. That's a big card as well Hernandez and Adriana Polincia Canary yellow coming up now Stephen Kwan of Jose Ramirez nice one there for the Guardians 18 out of 75 canary yellow Oh super be awesome got a white speckle auto coming up of Jojo Blackman 133 out of 299 nice one there It's not a bad idea actually That's a really good idea Wanda Franco shades of greatness rookie Coloss and mead Willie Fannis on the shimmer first for the Mets Five curry points and one three away from 550 Donnie Dela sends us ready to be sick Joey Weimer another wander shades of greatness rookie Jose Ramos Ramos We need a cool and freezing alarm Lock in for some giddy ups tomorrow.  You're gonna be hit the floor Magenta is your Donnie De Los Santos on the first nice one there to 199 one of the guys you're chasing Willford Barris I will be Bring on the goodies. I want to get these only to put it straight to your jugular We've got base auto Luis Mesa another nice one there usually he's a redemption so that's pretty solid There's some dust on that. We'll just have if you don't mind wiping it off Shawn Shawn wipe that off for you Close the Montgomery and West cat Be like the throne boxes Magenta Max Scherzer to two ninety nine for the Mets There you go SG Robert Hassell denser Goose mom. Oh, yeah So I say I'm on the floor shaping I Hate him Got a Bobby went true blue behind it of Eddie's Leonard nice one there to 150 Color match for the Dodgers Yeah, yeah My sister's in the business. She's like a big regional for a del Frisco blue coming up here. I see we go blue auto Here we go the ray wave of Cameron Kali 76 out of 150 nice one there three colored autos coming out of this break congrats on that SG Cameron Kali base and base Sorry God Everybody right Watson shades of greatness Oh, yeah, Jay Rod still the best for sure green shimmer Matt McClain to 99 for the Reds Who won there love the love the shimmers in this dude? Christ clear Watson Yeah, an absolute shady there's kabooms Thank you again SG appreciate it man. You were I mean you were here watching it So we'll get it right out to you my man


What's your packaging strategy? You guys offer free stuff open stuff. Can you we've been talking about that all week? So talk about you know how you approach that and what your philosophy is so we You know at the core is is the open-source project are and then we add capabilities on top of that And we provide our own distribution of our called revolution our enterprise And that is what we sell into Enterprises and corporations We do have The packages that we recently Released in September that work with Hadoop. We put those in the open source are available on GitHub for download for usage And we're going to continue to update that project. So we have a little bit of both where we have enterprise Features that we package and put in our own distribution of our for for sale to enterprise customers And then we have stuff that we put in the open source and then all of our software is free to academics So we're encouraging the academic community to get involved in some of the stuff that we're building and make use of it So okay, so your model is core is open source layer some some not open source stuff on top of that that you charge for And keep contributing to the community. Is that I mean it seems to be the right balance, right? A lot of people have have criticized those who don't put things into the open source So what is this community sort of it's almost like table stakes. It's an ante to get into this Yeah, I mean you have to be You have to realize that you know, you're you're making your business on top of an open source project And therefore you've got to embrace the community. Otherwise, you know, there's going to be Potential problems there. So we we really do embrace new what's good for our is good for us And what's we try to make sure that what what we do is good for our as well in the same message Cloudera and Hortonworks have for Hadoop and other vendors with it grows the market You guys take advantage of that, you know, SLA level support and needs that the same kind of business model Yeah, exactly. I mean if we you know, we feel like if we can help embed our into these bigger corporations and enterprises That's good for our that's good for the community. That's good for you know, making establishing our as the lingua-franca of statistical and data analysis Okay


Hello and welcome to NewsClick. Today we're joined by Raghu, the President of the All India People's Science Network, to discuss the controversy surrounding the Muluperiyar Dam. Hi, Raghu. Hi. Now, while the issue of the Muluperiyar Dam has been in and out of the public eye for a few decades now, why has there been such a sudden revival of interest in the issue? Well, two things have happened recently, which have brought the controversy into sharp focus. One was apprehensions in Kerala about the safety of the dam resurfaced, and this was accentuated by the recent earthquakes in the region, which for obvious reasons heightened the fears of the local people about the safety of the dam. This is the reason why it has come up to the forefront, and as usual in interstate water issues, there have been heated emotions on either side of the border, which has focused attention on the issue again. What are the two perspectives of the states on this matter? Why the controversy in the first place? The controversy is that as far as Kerala is concerned, it sees the problem as basically one relating to the safety of this dam, which is an earthen dam. It is not a concrete dam. It is a gravity dam, and it is 110 plus years old, and cracks are visible in the dam. The earthquake has happened recently, and there are obvious apprehensions in Kerala about the safety of the dam, and what is likely to happen if the dam breaks. If that happens, the large part of the damage due to the inundation will be in Kerala. Now, the dam itself actually serves irrigation purposes almost exclusively in Tamil Nadu. Now, Kerala's proposal is because of the safety issues around the dam to break the dam and build a new one. Now, obviously, that is going to take some time, and Tamil Nadu is worried that if that happens, then Tamil Nadu would be deprived of the water supply. Is it just for the interim period? Yes, of course, because once the dam is built, and Kerala has assured that the dam would continue to serve the purposes of providing irrigation water to Tamil Nadu, but Tamil Nadu is worried that in the interim period, there would be disruption in water supply, and that once a new dam is built, there may be a renegotiation of the terms, and maybe Tamil Nadu would not get the water that... Essentially, so do you believe that it's possible that Kerala is exaggerating the risks of the situation to get out of what they could deem to be an onerous lease? Because at the moment, for example, I understand, Tamil Nadu pays an annual rent of two and a half lakhs for the water from the Mula Periyar dam. See, this dam exclusively serves the needs of Tamil Nadu. It is not serving any major need inside Kerala. In fact, from that context, one is a little surprised at the offer made by Tamil Nadu to build a new dam. Why would Tamil Nadu... By Kerala. I mean Kerala. Why would Kerala build a new dam? Absolutely. Which is going to serve the purposes exclusively of Tamil Nadu. And therefore, Tamil Nadu has the apprehension that if a new dam is built, there would be new rates or new charges, etc. Applied. Now, given that our constitutional scheme recognizes every state's right to regulate water and water resources within its own territory, was it unfair for Kerala to have categorized the dam as an endangered dam through its Kerala Irrigation and Water Conservation Act? See, in very strict legal terms, no. But the very dam has been built and the services of the dam has been provided to Tamil Nadu as a result of a joint agreement and a long-term lease between the two states. Therefore, there is this idea that both the states are stakeholders in this. And as is true in most interstate river issues or dam problems, even though the dam may be located in one state, but if it serves the interests of lower riparian other states, they become stakeholders in it and they also have an opinion to offer. So that makes sense. Now, with the reluctance of the Supreme Court to pass substantive orders on the matter, why has the centre which is empowered under the constitution and in fact has been requested by the Supreme Court to mediate on the issue, why has it failed to make any headway in the matter? Well, it is now getting its act together, hopefully. But as usual, the centre sees this as a hornet's nest as involving two states, each of which seems to be taking an extreme position. And the centre intervenes and if it is perceived as tilting to one side or another, then what is currently happening is which is the two states arguing with each other, then both the states turn around and start arguing with the centre. So the centre would like to stay out of it if possible or at best act as an honest broker to bring the two states together. Now, the chance for an objective or a fact-based decision on such issues usually appears remote given the jingoistic political rhetoric as you've mentioned. Now, do you think that this is inevitable in a constitutional system such as ours or should such decisions be taken out of the political sphere altogether? See, my view on this is that I believe there are three issues here at work in this connection. One is there is a complete lack of faith in the general public as well as in political circles when it comes to issues which they think are at the core of their interest. There is a lack of confidence in appointed expert bodies or public bodies. For instance, in this case, the Tamil Nadu government has taken a very strident position saying that the dam is safe, quoting a report by experts of the Central Water Commission dating back to 30 plus years ago and saying, look, these experts have pronounced this dam to be safe. Therefore, it is safe. The same state government, however, is not prepared to accept at face value the statement of the Atomic Energy Commission that the Kudam Kulam plant is safe because the state government has a different point of has a take. So it's become a matter of subjective choice, whether you accept an expert's opinion or you don't. And we have yet to evolve either a culture or a system in this country of expert bodies passing an opinion which is then examined by a peer process or is peer reviewed or is thrown open to the public and thereby builds a public confidence in this expert body. One can see the same air of suspicion, if you like, even in the famous Lokpal Bill, Anna Hazare's Jan Lokpal Bill also has provisions for how the Lokpal is to be appointed by people who are above suspicion. And in case the Lokpal falters to have another body which is again of people who are above suspicion to then examine those who are supposed to be above suspicion. So this process I believe in our country has now become endless. And it is time we restore the public's acceptance of expert opinion. But the only way that can be done is if these experts actually are unbiased and do not express opinions which are purely subservient to political interests of this or that dispensation at the state or. Absolutely, absolutely. Now what sort of resolution do you actually see coming out of this issue? Will we just have more and more committees being formed under an inevitable delay? See one of the, I think we can learn a lot from some of the earlier disputes that we've had on water. For example, on the Kaveri issue, which as you know has been an equally if not more of a turbulent and polarized debate, but there have been several efforts by civil society, by technical experts, farmers organizations, civil society organizations coming together to discuss solutions which have actually gone much further than tribunals or quasi-judicial bodies in being able to arrive at what are equally acceptable solutions between ultimately two stakes of share of stakeholders who have an equal stake, the people of one state and the people of another state, or farmers of one state, farmers of another state. There have been some efforts in this direction, even on the Mulla Periyar issue. And I think our news click site would also have, I would forward to you a proposal put together by a set of experts along with some civil society organizations bringing together people from both Kerala and Tamil Nadu as well as experts from other parts of the country who have put forward a possible solution to the Mulla Periyar issue. And interestingly, the solution they offer is not just not falling either into the Tamil Nadu type solution or the Kerala type solution. In fact, they are arguing that from a purely precautionary principle standpoint, which is the stand that Tamil Nadu took with regard to the Kudam Kulam plant, that precautionary principle would suggest that if there is apprehension of danger, then you'd stay back, resolve the danger, and then move ahead. If the similar stance is to be adopted with regard to the Mulla Periyar issue, then safety being a prime consideration, you would say address the safety issue first. Have a proper addressing of the safety by a consensually appointed panel of experts. In the interim, lower the height of the dam so that the immediate apprehensions of safety, so lowering the dam height to maybe 120 feet of impoundment of water is one suggestion. But interestingly, they have also raised the issue of whether at all a second dam in Kerala is required or is desirable. And there are two very important points being raised here. The first is that a new dam in Kerala now would mean a huge amount of displacement over many years and ecological disturbance inside the Periyar Tiger Reserve. You've already had disturbance due to the Mulla Periyar dam, but it's now settled and it's been like that for 100 plus years. Now, if you're going to build a new dam, you're talking about six, seven, eight years of huge amount of disturbance of the ecosystem. You'll have roads being built, trucks going in and out, massive amounts of concrete. So there's going to be massive ecological disturbance inside the Periyar Tiger Reserve. So is that desirable? That's question number one. And question number two is, is there a justification or a need for having a storage dam inside Kerala for supplying water to Tamil Nadu? And if the idea is to supply water to Tamil Nadu, then the same purpose can be served by having what's called a diversion dam, which is not impounding such a large quantity of water, but just divert and ensure supply of water to Tamil Nadu. And then Tamil Nadu can build storage capacities in different distributed reservoirs, not necessarily in one large one for the purposes inside Tamil Nadu. This seems to me to be a very equitable and sensible suggestion and deserves to be examined by experts, civil societies and political organizations on both sides. And I do hope views like that will continue to be circulated in the public domain. Thanks, Raghu, for joining us and thank you for watching.


Hello Columbia. The Let's Move Columbia Family Wellness Challenge is in full swing with our families enjoying a variety of special events. Let's take a look at what's happening this week. Today we had a class with families. We were talking about making the home healthy food environment for children. How to make make the best choice the easiest choice for children. Sometimes healthy food it's expensive or we think is expensive. It's difficult to prepare. It's hard having a family eat healthy at the same time but we want to make sure that everybody understands there are ways to get around that and those to make it possible. We needed to do this as a family. We needed to get healthy as a family. We've been looking for ways to get healthy and eat right and all of that and we wanted to use something that we could actually engage and make sure that we were doing this together. The best thing that's working for us is that everybody seems to be engaged and my boys are actually with my husband. They're actually teaching him or telling him no daddy we can't do this we can't do this and that's fun.


What's going on everybody got Kyle and Sean here relating sports cards from four box MLB This is 2023 gilded and tier one number three random team style Did a randomized for the break had James D with the Giants down to Kota H with the Red Sox Good luck here guys. Let's see what we got This one is again number three gilded and tier one three tier one one gilded Good luck here guys Just six to go in the next one Guardians Dodgers A's Pirates Mariners and Cardinals in our tier one case number 12 Thank you Keegan taking a couple in a couple next days jkw taking the twins. Thank you, sir Good luck on this one guys Four box MLB mixer Tier one one with the gilded smark mcguire to 400 on the um game used jersey It's a cardinal smark mcguire Gee sounds or oh Say michael toglia that one's a 299 on the uh rockies rookie michael toglia And this one is paul golchman nice one there last year's mvp 9 of 149 there for the cardinals Cardinals two of those first three Paul goldie box number two got a um bat relic or sorry got jersey relic that one's uh jeff bagwell the 400 I'd be astros astros on the bag. Well, this one is Nate Eaton rookie to 299 eat for the Rockies Nate Eaton and on the back. We have j ram so 199 that'll go to the guardians Guardians on the j ram well last box. It's here one number three. That's wild Got a errant judge said 99 on the game used jersey for the Yankees One is jason alexander at 299 rookie for the brewers The brew crew and at tier one talent is joey vato to 99. That's going to the reds the reds to 99 tier one talents Alrighty now we got our gilded And this is gilded in tier one number three random teams To number four next then we're back to tier one uh full cases Still got six to go on case 12. That is crazy, man To 199 we got a rookie brice miller that one's going to the mariners Mariners on the brice miller Got a rookie Oswaldo cabrera to 75 on the weight uh wave Rookie for the Yankees cabrera and auto nice one. There's james outman to 75. There you go dodgers This rookie there the outfielder outman the outfielder 75 on the auto and to 99 is miguel cabrera The tigers Frame is going to be for the white socks to 99 is herald bains On the hall of fame gold frame Gold frame hall of fame to 99 Alrighty there guys that'll do it for um gilded collection in tier one number three random teams Do a hit recap and then we'll get number four going Had to 99 that's going to be judge on the game used um jersey Had jeff bagwell the 400 and mark mcguire to 400 Auto was the 75 rookie james outman For the dodgers we had joey vato to 99 tier one talent jason alexander to 299 rookie brew crew um j ramble 199 nate eaton to 299 To 149 gold schmidt and toglia to 299 And on the back was a hall of fame gold frame white socks herald bains All righty. Alrighty that'll do it for uh gilded and tier one number three get number four going here in just a moment