Support Vector Machine Fundamentals 
Support Vector Machine Fundamentals
by Harrison Kinsley
Video Lecture 23 of 42
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Views: 1,467
Date Added: August 11, 2016

Lecture Description

In this tutorial, we cover some more of the fundamentals of the Support Vector Machine.

Course Index

Course Description

The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.

In this series, we'll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks.


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