Artificial Intelligence:


What is Artificial Intelligence (AI)?


What is Machine Learning (ML)?

Machine Learning is an artificial intelligence technology that provides systems with the ability to learn without being explicitly programmed.

Data Analysts vs. Machine Learning Engineers.

It’s also critical to understand the differences between a Data Analyst and a Machine Learning engineer. In simplest form, the key distinction has to do with the end goal. As a Data Analyst, you’re analysing data in order to tell a story, and to produce actionable insights. The emphasis is on dissemination—charts, models, visualizations. The analysis is performed and presented by human beings, to other human beings who may then go on to make business decisions based on what’s been presented. This is especially important to note—the “audience” for your output is human. As a Machine Learning engineer, on the other hand, your final “output” is working software (not the analyses or visualizations that you may have to create along the way), and your “audience” for this output often consists of other software components that run autonomously with minimal human supervision. The intelligence is still meant to be actionable, but in the Machine Learning model, the decisions are being made by machines and they affect how a product or service behaves.

Source of Information:

Arpan Chakraborty, AI Instructor at Udacity.