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

Machine Learning: A First Course for Engineers and Scientists

Cambridge University Press

Machine Learning

Springer

Machine Learning

Springer

Machine Learning Fundamentals: A Concise Introduction

Cambridge University Press

Understanding Machine Learning: From Theory to Algorithms

Cambridge University Press

Machine Learning Fundamentals: A Concise Introduction

Cambridge University Press

Mathematical Analysis of Machine Learning Algorithms

Cambridge University Press

A Hands-On Introduction to Machine Learning

Machine Learning Methods

Springer

Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)

Springer

A Brief Introduction to Machine Learning for Engineers (Foundations and Trends (R) in Signal Processing)

Now Publishers

An Introduction to Machine Learning

Springer

De Gruyter Mathematics of Deep Learning Textbook

De Gruyter

Introduction to Machine Learning with Python

Introduction to Statistical Machine Learning

Morgan Kaufmann

Mathematics for Machine Learning

Cambridge University Press

Introduction to Machine Learning: From Math to Code

Cambridge University Press

Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

Technics Publications

Machine Learning Refined: Foundations, Algorithms, and Applications

Cambridge University Press

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

Chapman and Hall/CRC

Machine Learning for Engineers

Cambridge University Press

Machine Learning: Theory and Practice

CRC Press

Machine Learning: a Concise Introduction: 285 (Wiley Series in Probability and Statistics)

Wiley

Mathematical Foundations of Deep Learning Models and Algorithms (Graduate Studies in Mathematics)

American Mathematical Society