good machine learning books

Machine Learning for Absolute Beginners - by Oliver Theobald (Paperback)

Machine Learning Interviews - by Susan Shu Chang (Paperback)

Learning Github Copilot - by Brent Laster (Paperback)

Deep Learning - (Adaptive Computation and Machine Learning) by Ian Goodfellow & Yoshua Bengio & Aaron Courville (Hardcover)

Data Governance: The Definitive Guide - by Evren Eryurek & Uri Gilad & Valliappa Lakshmanan & Anita Kibunguchy-Grant & Jessi Ashdown (Paperback)

Natural Language Processing with Transformers, Revised Edition - by Lewis Tunstall & Leandro Von Werra & Thomas Wolf (Paperback)

Hands-On Generative AI with Transformers and Diffusion Models - by Omar Sanseviero & Pedro Cuenca & Apolinário Passos & Jonathan Whitaker

Building Machine Learning Systems with a Feature Store - by Jim Dowling (Paperback)

Machine Learning and Data Science Blueprints for Finance - by Hariom Tatsat & Sahil Puri & Brad Lookabaugh (Paperback)

AI and Machine Learning for Coders - by Laurence Moroney (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Training Data for Machine Learning - by Anthony Sarkis (Paperback)

Reliable Machine Learning - by Cathy Chen & Niall Richard Murphy & Kranti Parisa & D Sculley & Todd Underwood (Paperback)

Machine Learning with Python Cookbook - 2nd Edition by Kyle Gallatin & Chris Albon (Paperback)

Effective Machine Learning Teams - by David Tan & Ada Leung & David Colls (Paperback)

The Hundred-Page Machine Learning Book - by Andriy Burkov (Paperback)

The AI Conundrum - by Caleb Briggs & Rex Briggs (Paperback)

Data Mining and Machine Learning with Applications - (Hardcover)

Statistical Machine Learning for Human Behaviour Analysis - (Hardcover)

Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming - (Hardcover)

Machine Learning and Data Mining Applications in Power Systems - (Hardcover)