Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Associate Professor at the School of Computer
Science and Engineering at The Hebrew University, Israel, and
Shai Ben-David, Professor in the School of Computer Science at the
University of Waterloo, Canada. The book looks very thorough. Below is just a sampling of the topics covered.
- Bias-Complexity Tradeoff
- Model Selection
- Support Vector Machines
- Decision Trees
- Neural Networks
- Clustering
- Dimensionality Reduction
- Feature Selection and Generation
- Advanced Theory
- And LOTS LOTS more….
Happy Learning!