This video covers a brief review of Support Vector Machines and gives a simple mathematical example of a Kernel Function to better understand how adding dimensions helps to linearly separate data with a hyperplane. Then we delve into using SVMs with either the LIBSVM or Scikit-Learn to perform training and prediction.
This is a continuation of the first video where Iintroduced SVMs and the Kernel Trick. Video can be found at: • Machine Learning 2 - Support Vector Machin...
This video was originally uploaded here: • Machine Learning 3 - Implementing a Suppor... , but whenever I tried to trim the streaming countdown, it kept going out of sync so I had to edit locally and re-upload.
Credits where Credits are Due:
-Subscribe End Screen: Graphicki [ • Video ]( • Video )
-Live Animation: Motion Chroma | Leader [ • Livestream Intro [Free to Use] ♥ ]( • Livestream Intro [Free to Use] ♥ )
-Music: Song: Without You, Artist: MNRVA, / ximertracks
-Streaming Software: OBS