Aprendizagem de Máquinas (Geral)
Pattern Recognition and Machine Learning - Christopher Bishop
Machine Learning - Tom M. Mitchell
Aprendizagem por Reforço e Programação Dinâmica
Reinforcement Learning: An Introduction - Richard S. Sutton and Andrew G. Barto
Dynamic Programming and Optimal Control - Dimitri P. Bertsekas
Neuro-Dynamic Programming - Dimitri P. Bertsekas and John N. Tsitsiklis
Markov Decision Processes: Discrete Stochastic Dynamic Programming - Martin L. Puterman
Estatística Multivariada
Modern Multivariate Statistical Techniques: Regression, Classification and Manifold Learning - Alan J. Izenman
Methods of Multivariate Analysis - Alvin C. Rencher
Redes Neurais Clássicas
Neural Networks - Simon Haykin
Neural Networks for Pattern Recognition - Christopher M. Bishop
Redes Neurais Profundas (Deep Learning)
Deep Learning - Ian Goodfellow, Yoshua Bengio e Aaron Courville (Book in preparation for MIT Press)