good machine learning books

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

Machine Learning for Physics and Astronomy - by Viviana Acquaviva (Paperback)

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

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

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

Machine Learning Pocket Reference - by Matt Harrison (Paperback)

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

Statistical Machine Learning for Human Behaviour Analysis - (Hardcover)

Machine Learning Methods with Noisy, Incomplete or Small Datasets - (Hardcover)

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

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

The Mathematics of Machine Learning - (De Gruyter Textbook) by Maria Han Veiga & François Gaston Ged (Paperback)

Machine Learning at Scale with H2O - by Gregory Keys & David Whiting (Paperback)

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

Grokking Deep Learning - by Andrew Trask (Paperback)

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

Predicting Structured Data - (Neural Information Processing) by Gokhan Bakir & Thomas Hofmann & Bernhard Scholkopf (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)

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

Machine Learning on Kubernetes - by Faisal Masood & Ross Brigoli (Paperback)