good machine learning books

Training Young Hearts Board Books Boxed Set - by Abbey Wedgeworth (Mixed Media Product)

You Look Like a Thing and I Love You - by Janelle Shane (Paperback)

Python für Ingenieure für Dummies - by Carsten Knoll (Paperback)

Machine Learning Pocket Reference - by Matt Harrison (Paperback)

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

Hands-On Python for DevOps - by Ankur Roy (Paperback)

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Machine Learning with SAS Viya - (Paperback)

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

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

Grokking Deep Learning - by Andrew Trask (Paperback)

The Unicorn Project - (Phoenix Project) by Gene Kim (Hardcover)

Deep Learning - by Andrew Glassner (Paperback)

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

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

Python in Easy Steps - (In Easy Steps) 3rd Edition by Mike McGrath (Paperback)

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

Machine Learning on Geographical Data Using Python - by Joos Korstanje (Paperback)

Dataset Shift in Machine Learning - (Neural Information Processing) (Paperback)

Gamechanger AI - by Klaus Henning (Paperback)

Real-World Python - by Lee Vaughan (Paperback)

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

Natural Language Processing Projects - by Akshay Kulkarni & Adarsha Shivananda & Anoosh Kulkarni (Paperback)