Cambridge University Press Machine Learning Evaluation: Towards Reliable and Responsible AI

Evaluating Learning Algorithms: A Classification Perspective

Cambridge University Press

Understanding Machine Learning: From Theory to Algorithms

Cambridge University Press

A Hands-On Introduction to Machine Learning

Mathematical Analysis of Machine Learning Algorithms

Cambridge University Press

Machine Learning Refined: Foundations, Algorithms, and Applications

Cambridge University Press

Machine Learning for Engineers

Cambridge University Press

Machine Learning

Springer

Machine Learning

Springer

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

Adversarial Machine Learning

Cambridge University Press

Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models

Packt Publishing

AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI

Machine Learning for Causal Inference

Machine Learning in Production: From Models to Products

MIT Press

Machine Learning Fundamentals: A Concise Introduction

Cambridge University Press

Machine Learning for Speaker Recognition

Cambridge University Press

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices

Cambridge University Press

Information-Driven Machine Learning: Data Science as an Engineering Discipline

Springer

Introduction to Machine Learning: From Math to Code

Cambridge University Press

Data Without Labels: Practical Unsupervised Machine Learning

The Science of Deep Learning

Cambridge University Press

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Cambridge University Press

Practical Machine Learning for Data Analysis Using Python

Academic Press

Fundamentals of Machine Learning

Oxford University Press