Support Vector Machine : What are C & Gamma?
<p>I am new to Machine Learning 7 I have started following Udacity's <a href="https://www.udacity.com/course/viewer#!/c-ud120/l-2254358555" rel="nofollow noreferrer">Intro to Machine Learning</a></p>
<p>I was following Simple Vector Machine's when this concept of <code>C and Gamma</code> came along. I did some digging around and found the following:</p>
<blockquote>
<p>C -  A high C tries to minimize the misclassification of training data
and a low value tries to maintain a smooth classification. This makes sense to me.</p>
<p>Gamma - I am unable to understand this one.</p>
</blockquote>
<p>Can someone explain this to me in layman terms?</p>