good machine learning books

Generative AI Unleashed - (Computing and Networks) by Karthik Ramamurthy & Suganthi Kulanthaivelu & Shajina Anand & Thangavel Murugan (Hardcover)

Computational Intelligence: Advances and Applications - by Gabriele Cox (Hardcover)

Cloud Computing: Theory and Applications - by Amanda Wegener (Hardcover)

Convex Optimization for Machine Learning - by Changho Suh (Hardcover)

Practical Simulations for Machine Learning - by Paris Buttfield-Addison & Mars Buttfield-Addison & Tim Nugent & Jon Manning (Paperback)

How Technology Works - (DK How Stuff Works) by DK (Hardcover)

Designing Machine Learning Systems - by Chip Huyen (Paperback)

Automate the Boring Stuff with Python Workbook - by Al Sweigart (Paperback)

Deep Learning for Dummies - by John Paul Mueller & Luca Massaron (Paperback)

Machine Learning For Beginners - by Jonathan S Walker (Paperback)

Electronics All-In-One for Dummies, UK Edition - by Dickon Ross & Doug Lowe (Paperback)

Applied Machine Learning Explainability Techniques - by Aditya Bhattacharya (Paperback)

Scaling Machine Learning with Spark - by Adi Polak (Paperback)

Machine Learning with the Raspberry Pi - by Donald J Norris (Paperback)

Deep Generative Modeling - 2nd Edition by Jakub M Tomczak (Hardcover)

Fundamentals of Machine Learning - by Mia Williams (Hardcover)

Machine Learning Pocket Reference - by Matt Harrison (Paperback)

Neural Networks and Deep Learning - 2nd Edition by Charu C Aggarwal (Hardcover)

Machine Learning, Natural Language Processing, and Psychometrics - (Marces Book) by Hong Jiao & Robert W Lissitz (Paperback)

Python Deep Learning - Third Edition - 3rd Edition by Ivan Vasilev (Paperback)

Applied Machine Learning and AI for Engineers - by Jeff Prosise (Paperback)

Python Debugging for Ai, Machine Learning, and Cloud Computing - by Dmitry Vostokov (Paperback)

Grokking Deep Learning - by Andrew Trask (Paperback)

Deep Learning with Python, Third Edition - by Francois Chollet & Matthew Watson (Paperback)