Foundations of Machine Learning, 2nd Edition eTextbook by Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar

Complete eTextbook Content:
1. Introduction
2. The PAC Learning Framework
3. Rademacher Complexity and VC-Dimension
4. Model Selection
5. Support Vector Machines
6. Kernel Methods
7. Boosting
8. On-Line Learning
9. Multi-Class Classification
10. Ranking
11. Regression
12. Maximum Entropy Models
13. Conditional Maximum Entropy Models
14. Algorithmic Stability
15. Dimensionality Reduction
16. Learning Automata and Languages
17. Reinforcement Learning
A. Linear Algebra Review
B. Convex Optimization
C. Probability Review
D. Concentration Inequalities
E. Notions of Information Theory
F. Notation

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Name: Foundations of Machine Learning, 2nd Edition
Author: Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
Edition: 2
ISBN-10: 0262039400
ISBN-13: 978-0262039406
Type: eTextbook

This is a eBook for the actual textbook of Foundations of Machine Learning 2nd Edition, by Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar.

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1) A COMPLETE eBook 505 Pages), with all single page and Chapters, Color Version. Same as the original textbook. Comes with PDF file format. Can be read by Adobe Reader.

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