Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
Instructor: Sebastian Raschka
Lecture material for the Machine Learning course (STAT 479) at University Wisconsin-Madison. For details, please see the course website at http://pages.stat.wisc.edu/~sraschka/teaching/stat479-fs2018/
Part I: Introduction
Part II: Computational Foundations
Part III: Tree-Based Methods
Part IV: Evaluation
Part V: Dimensionality Reduction
Due to time constraints, the following topics could unfortunately not be covered:
Part VI: Bayesian Learning
Part VII: Regression and Unsupervised Learning
The following topics will be covered at the beginning of the Deep Learning class next Spring. Tentative outline of the DL course.
Part VIII: Introduction to Artificial Neural Networks
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Teaching this class was a pleasure, and I am especially happy about how awesome the class projects turned out. Listed below are the winners of the three award categories as determined by ~210 votes. Congratulations!