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

Pattern Recognition and Machine Learning (Information Science and Statistics)

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

Neural Network Design (2nd Edition)

Neural Networks and Deep Learning: A Textbook

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks (A Bradford Book)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Machine Learning: An Applied Mathematics Introduction

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