Machine Learning 4:
The Kernel Trick
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2016
Machine Learning 4:
The Kernel Trick
Chad Hazlett
University
Machine Learning 6:
Wrap-up
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2015
Roadmap for second half of course
Part 2: Machine Learning
1
Introduct
MLE and GLMs Part I: Why and How
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2015
MLE and GLMs Part I: Why and How
Chad Hazlett
University of Calif
Machine Learning 2:
Regularization in Linear Models
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2015
Machine Learning 2:
Regularization in Linear M
Machine Learning 5:
Support Vector Machines
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2015
For Related/Additional Material See
Andrew Ngs course
Machine Learning 1:
Introduction
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2015
Machine Learning 1:
Introduction
Chad Hazlett
University of Calif
MLE and GLMs Part IIIA:
Ordered Outcomes
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2015
MLE and GLMs Part IIIA:
Ordered Outcomes
Chad Hazlett
Uni
MLE and GLMs Part II:
Inference, Asymptotics, Robustness
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2016
MLE and GLMs Part II:
Inference, Asymptot
Machine Learning 3:
Introduction to (Generative) Classification
Chad Hazlett
University of California Los Angeles
201B: Statistical Modeling and Learning
Winter 2015
Machine Learning 3:
Introduction t