Cambridge University Press Machine Learning for Engineers

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

Now Publishers

Introduction to Machine Learning: From Math to Code

Cambridge University Press

Machine Learning for Societal Improvement, Modernization, and Progress (Advances in Human and Social Aspects of Technology)

A Hands-On Introduction to Machine Learning

Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications

Machine Learning Refined: Foundations, Algorithms, and Applications

Cambridge University Press

Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-Driven Analysis, Explainability, and Causality

Wiley

Machine Learning and Systems Engineering: 68 (Lecture Notes in Electrical Engineering, 68)

Springer

Introduction to Statistical Machine Learning

Morgan Kaufmann

Machine Learning

Springer

Machine Learning

Springer

Understanding Machine Learning: From Theory to Algorithms

Cambridge University Press

Machine Learning: Algorithms and Applications

CRC Press

Introduction to Machine Learning with Python

Machine Learning With Python: Theory And Applications

World Scientific Publishing Company

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

Springer

Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Cambridge University Press

Machine Learning and Artificial Intelligence

Springer

Mathematical Analysis of Machine Learning Algorithms

Cambridge University Press

Machine Learning Fundamentals: A Concise Introduction

Cambridge University Press

An Introduction to Machine Learning

Springer

Machine Learning Technologies and Applications: Proceedings of ICACECS 2020 (Algorithms for Intelligent Systems)

Machine Learning – A Probabilistic Perspective

MIT Press

Machine Learning Principles and Techniques (Chapman & Hall Computing)

Cengage Learning