Antilibrary · Artificial Intelligence
Machine Learning Foundations
- 1Algorithms of the Intelligent Web - Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko
- 2An introduction to statistical learning by James, Witten, Hastie, Tibshirani, and Taylor
- 3Artificial Intelligence A Modern Approach, Global Edition - Russell, Stuart, Norvig, Peter
- 4Foundations of Machine Learning - Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar
- 5Introduction to matrix analysis - Richard Bellman
- 6Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
- 7Machine Learning for Hackers
- 8Machine Learning System
- 9Machine Learning - Tom Mitchell, Carnegie Mellon
- 10MATHEMATICS FOR MACHINE LEARNING - Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
- 11Modeling and Reasoning with Bayesian Networks - Adnan Darwiche
- 12Pattern recognition and machine learning by Christopher Bishop (Microsoft Research)
- 13pen & paper exercises in machine learning
- 14Probabilistic Machine Learning: An Introduction" - Kevin Patrick Murphy
- 15Programming Collective Intelligence: Building Smart Web 2.0 Applications
- 16Understanding Machine Learning: From Theory to Algorithms - Shai Shalev-Shwartz and Shai Ben-David