Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)

Deep Learning (Adaptive Computation and Machine Learning series)

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience Series)

Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)

Rebooting AI: Building Artificial Intelligence We Can Trust

Deep Learning with Python

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, Second Edition (Studies in Nonlinearity)

Introduction to Deep Learning (The MIT Press)

Causality: Models, Reasoning and Inference