good machine learning books

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

What Is Ai? - (What Was?) by Wes Locher & Who Hq (Paperback)

Deep Learning with Pytorch - by Eli Stevens & Luca Antiga & Thomas Viehmann (Paperback)

Thinking with Machines - by Vasant Dhar (Hardcover)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

Make: AI Robots - by Reade Richard & Brenda Shivanandan & Andy Forest & Denzel Edwards (Paperback)

An Introduction to Machine Learning - 3rd Edition by Miroslav Kubat (Hardcover)

Machine Learning for Data Streams - (Adaptive Computation and Machine Learning) (Paperback)

What Is Intelligence? - (The Antikythera) by Blaise Aguera Y Arcas (Paperback)

Complete Electronics - by Earl Boysen & Harry Kybett (Paperback)

MATLAB Machine Learning Recipes - 3rd Edition by Michael Paluszek & Stephanie Thomas (Paperback)

Python for Beginners - (Programming) by Robert Campbell (Paperback)

The Essential Book of Useless Information - by Don Voorhees (Paperback)

Source Separation and Machine Learning - by Jen-Tzung Chien (Paperback)

Machine Learning in Civil Engineering and Infrastructure Development - by M Z Naser (Hardcover)

Machine Learning with Python - (De Gruyter Stem) by Tarkeshwar Barua & Kamal Kant Hiran & Ritesh Kumar Jain & Ruchi Doshi (Paperback)

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

Data Structures the Fun Way - by Jeremy Kubica (Paperback)

Machine Learning, Revised and Updated Edition - (MIT Press Essential Knowledge) by Ethem Alpaydin (Paperback)

Adversarial Robustness for Machine Learning - by Pin-Yu Chen & Cho-Jui Hsieh (Paperback)

Math for Deep Learning - by Ronald T Kneusel (Paperback)

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

Machines that Think-History of Artificial Intelligence - (Rise of Cognitive Computing: AI Evolution from Origins to Adoption) by Herman Strange

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