good machine learning books

Algorithms for Dummies - 2nd Edition by John Paul Mueller & Luca Massaron (Paperback)

Python for Data Science - by Jarrel E (Paperback)

Python for Absolute Beginners - by Oswald Campesato (Paperback)

Artificial Intelligence - by Neil Wilkins (Hardcover)

How Does AI Work? - (The Science of AI) by Traci Pedersen (Hardcover)

Fight Fraud with Machine Learning - by Ashish Ranjan Jha (Paperback)

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

Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things - (Hardcover)

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

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

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

Timeless Algorithms, the Seminal Papers - by Gary Sutton (Paperback)

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

Grokking Deep Learning - by Andrew Trask (Paperback)

Data Mining and Machine Learning with Applications - (Hardcover)

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

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

Natural Language Processing (NLP) and Machine Learning (ML) - (Hardcover)

Machine Learning for Biomedical Applications - by Maria Deprez & Emma C Robinson (Paperback)

Statistical Analysis with Python for Dummies - by Joseph Schmuller (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)