good machine learning books

Machine Learning Pocket Reference - by Matt Harrison (Paperback)

Robots Helping Humans (a True Book: Our Digital World) - (True Books: American History (Hardcover)) by Natasha Vizcarra (Paperback)

Fuzzy Logic in Computational Intelligence - (Advances in Learning Analytics for Intelligent Cloud-Iot Systems) (Hardcover)

Advances in Machine Learning and Mathematical Modeling for Optimization Problems - (Hardcover)

Machine Learning and Visual Perception - by Baochang Zhang & Ce Li & Nana Lin (Paperback)

Machine Learning for Kids - by Dale Lane (Paperback)

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

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

Machine Learning, Blockchain Technologies and Big Data Analytics for Iots - (Security) (Hardcover)

Data Mining and Machine Learning with Applications - (Hardcover)

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

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

Fair Game - by Rob Collie (Hardcover)

Probabilistic Machine Learning in Sustainable AI - by Richa Singh & Sayani Ghosal & Durgesh Srivastava & Pradeep Kundu (Hardcover)

How AI Thinks - by Nigel Toon (Paperback)

Machine Learning and Deep Learning With Python - by James Chen (Paperback)

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

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

Raising AI - by De Kai

Pattern Recognition and Machine Learning - (Information Science and Statistics) by Christopher M Bishop (Hardcover)

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

Artificial Intelligence - by Neil Wilkins (Hardcover)

Handbook of Research on Artificial Intelligence Techniques and Algorithms, Vol 2 - by Pandian Vasant (Hardcover)

50 AI Ideas You Really Need to Know - by Keith Mansfield (Paperback)