Lecture 15 – Kernel Methods
Kernel Methods – Extending SVM to infinite-dimensional spaces using the kernel trick, and to non-separable data using soft margins. Lecture 15 of 18 of Caltech’s Machine Learning Course – CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App – https://itunes.apple.com/us/course/machine-learning/id515364596 and on the course website – http://work.caltech.edu/telecourse.html
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This lecture was recorded on May 22, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.