Machine Learning, Revised And Updated Edition (The MIT Press Essential Knowledge Series)

The Hundred-Page Machine Learning Book (The Hundred-Page Books)

Hands-On Machine Learning With Scikit-Learn And Pytorch: Concepts, Tools, And Techniques To Build Intelligent Systems

Artificial Intelligence & Machine Learning – Book 1 / Kuenstliche Intelligenz & Machine Learning – Band 1: Bilinguales Lehrbuch (Deutsch–Englisch) Mit

Machine Learning With Pytorch And Scikit-Learn: Develop Machine Learning And Deep Learning Models With Python

Machine Learning With R: Learn Techniques For Building And Improving Machine Learning Models, From Data Preparation To Model Tuning, Evaluation, And W

Machine Learning With Python: A Practical Beginners’ Guide (Learn Machine Learning For Beginners)

Graph Machine Learning: Learn About The Latest Advancements In Graph Data To Build Robust Machine Learning Models

Mathematics For Machine Learning

Mastering Azure Machine Learning: Perform Large-Scale End-To-End Advanced Machine Learning In The Cloud With Microsoft Azure Machine Learning

Foundations Of Machine Learning, Second Edition (Adaptive Computation And Machine Learning Series)

Understanding Machine Learning: From Theory To Algorithms

Hands-On Machine Learning With C++: Build, Train, And Deploy End-To-End Machine Learning And Deep Learning Pipelines

Master Machine Learning With Scikit-Learn: A Practical Guide To Building Better Models With Python

Machine Learning Engineering With Python: Manage The Lifecycle Of Machine Learning Models Using Mlops With Practical Examples

MASTERING MACHINE LEARNING: OPTIMIZATION AND INSIGHTS