Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

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

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

Deep Learning (Adaptive Computation and Machine Learning series)

Introduction to Topology: Third Edition (Dover Books on Mathematics)

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners

Coding the Matrix: Linear Algebra through Computer Science Applications

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

Bayesian Reasoning and Machine Learning

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)