Adaptive Computation and Machine Learning series

Han Bao and Others
Series • 18 Books • Computers & Internet
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
Probabilistic Machine Learning Probabilistic Machine Learning
Probabilistic Machine Learning
Kevin P. Murphy
Fairness and Machine Learning Fairness and Machine Learning
Fairness and Machine Learning
Solon Barocas, Moritz Hardt & Arvind Narayanan
Foundations of Machine Learning, second edition Foundations of Machine Learning, second edition
Foundations of Machine Learning, second edition
Mehryar Mohri, Afshin Rostamizadeh & Ameet Talwalkar
Elements of Causal Inference Elements of Causal Inference
Elements of Causal Inference
Jonas Peters, Dominik Janzing & Bernhard Schölkopf
Machine Learning from Weak Supervision Machine Learning from Weak Supervision
Machine Learning from Weak Supervision
Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu & Tomoya Sakai
Introduction to Machine Learning, fourth edition Introduction to Machine Learning, fourth edition
Introduction to Machine Learning, fourth edition
Ethem Alpaydin
Introduction to Natural Language Processing Introduction to Natural Language Processing
Introduction to Natural Language Processing
Jacob Eisenstein
Probabilistic Graphical Models Probabilistic Graphical Models
Probabilistic Graphical Models
Daphne Koller & Nir Friedman