CRC Press Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Machine Learning: An Algorithmic Perspective, Second Edition

CRC Press

Machine Learning: Theory and Practice

CRC Press

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

MIT Press

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning

Packt Publishing

Machine Learning – A Probabilistic Perspective

MIT Press

Machine Learning: A Constraint-Based Approach

Morgan Kaufmann

Probability and Statistics for Computer Science

Springer

A First Course in Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Chapman and Hall/CRC

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

Packt Publishing

Machine Learning

Springer

Machine Learning

Springer

Deep Learning for Physical Scientists: Accelerating Research with Machine Learning

Wiley

Machine Learning Algorithms in Depth

Manning

Applied Machine Learning

Springer

Model-Based Machine Learning

Chapman and Hall/CRC

Applied Machine Learning

Springer

Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning)

MIT Press

Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Packt Publishing

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

The Hundred-Page Machine Learning Book

Andriy Burkov

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Springer

The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond (De Gruyter Textbook)

De Gruyter

Fundamentals of Machine Learning

Oxford University Press

Fundamental Mathematical Concepts for Machine Learning in Science

Springer