rasbt / stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

Home Page:http://pages.stat.wisc.edu/~sraschka/teaching/stat479-fs2019/

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STAT 479: Machine Learning (Fall 2019)

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

Topics Summary (Planned)

Below is a list of the topics I am planning to cover. Note that while these topics are numerated by lectures, note that some lectures are longer or shorter than others. Also, we may skip over certain topics in favor of others if time is a concern. While this section provides an overview of potential topics to be covered, the actual topics will be listed in the course calendar.

Part I: Introduction

Part II: Computational Foundations

Part III: Tree-Based Methods

Part IV: Evaluation

Part V: Dimensionality Reduction

About

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

http://pages.stat.wisc.edu/~sraschka/teaching/stat479-fs2019/


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