good machine learning books

Architecting Data and Machine Learning Platforms - by Marco Tranquillin & Valliappa Lakshmanan & Firat Tekiner (Paperback)

How AI Works - by Ronald T Kneusel (Paperback)

Deep Learning with R, Third Edition - by François Chollet & Tomasz Kalinowski (Paperback)

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

Introduction to Machine Learning - by Etienne Bernard (Paperback)

Exploratory Data Analysis Using Fisher Information - by Roy Frieden & Robert A Gatenby (Hardcover)

Artificial Intelligence - by Mia Williams (Hardcover)

Computational Biology: Theory, Models and Methods - by Ivie Nathaniel (Hardcover)

Artificial Intelligence: Concepts, Tools and Techniques - by Mitch Hoppe (Hardcover)

Artificial Intelligence for Libraries - by Brady D Lund (Hardcover)

Intelligent Systems Handbook - by Boris Vega (Hardcover)

VLSI for Artificial Intelligence and Neural Networks - (Hardcover)

Machine Learning in Geosciences - by Dilan Thomas (Hardcover)

Computational Neuroscience - by Kieran Robertson (Hardcover)

Hands-On Machine Learning with C++ - Second Edition - 2nd Edition by Kirill Kolodiazhnyi (Paperback)

Intelligent Systems Handbook - by Boris Vega (Hardcover)

Data Networks - by Krzysztof Iniewski & Carl McCrosky & Daniel Minoli (Hardcover)

Supercomputing Handbook - by Kaila Henry (Hardcover)

30 days of learning and good deeds - by Bachar Karroum (Paperback)

Machine Learning For Dummies - 2nd Edition by John Paul Mueller (Paperback)

Artificial Neural Networks: Advanced Principles - by Jeremy Rogerson (Hardcover)

Computational Intelligence and Feature Selection - (IEEE Press Computational Intelligence) by Richard Jensen & Qiang Shen (Hardcover)

Raspberry Pi for Dummies - 4th Edition by Sean McManus & Mike Cook (Paperback)

Machine Learning with SAS - (Paperback)