Adaptive Computation and Machine Learning series

Han Bao and Others
Series • 18 Books • Mathematics
Machine Learning from Weak Supervision Machine Learning from Weak Supervision
Machine Learning from Weak Supervision
Masashi Sugiyama, Han Bao, Takashi Ishida, Paul Lu & Tomoya Sakai
Deep Learning Deep Learning
Deep Learning
Ian Goodfellow, Yoshua Bengio & Aaron Courville
Reinforcement Learning, second edition Reinforcement Learning, second edition
Reinforcement Learning, second edition
Richard S. Sutton & Andrew G. Barto
Learning Theory from First Principles Learning Theory from First Principles
Learning Theory from First Principles
Francis Bach
Veridical Data Science Veridical Data Science
Veridical Data Science
Bin Yu & Rebecca L. Barter
Foundations of Computer Vision Foundations of Computer Vision
Foundations of Computer Vision
Antonio Torralba, Phillip Isola & William T. Freeman
Fairness and Machine Learning Fairness and Machine Learning
Fairness and Machine Learning
Solon Barocas, Moritz Hardt & Arvind Narayanan
Probabilistic Machine Learning Probabilistic Machine Learning
Probabilistic Machine Learning
Kevin P. Murphy
Introduction to Online Convex Optimization, second edition Introduction to Online Convex Optimization, second edition
Introduction to Online Convex Optimization, second edition
Elad Hazan
Probabilistic Machine Learning Probabilistic Machine Learning
Probabilistic Machine Learning
Kevin P. Murphy