good machine learning books

Machine Learning Algorithms in Depth - by Vadim Smolyakov (Paperback)

Deep Learning for Life Sciences - (Decoding Evolution) by Filippo Biscarini & Nelson Nazzicari (Hardcover)

How AI Works - by Ronald T Kneusel (Paperback)

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

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

Algorithms for the People - by Josh Simons

Quantum Computing and Quantum Machine Learning for Engineers and Developers - by Jesse Van Griensven Thé & Roydon Andrew Fraser & Jose Rosas-Bustos

Multivariate Statistics and Machine Learning in R for Beginners - by Andreas Tilevik (Hardcover)

Python QuickStart Guide - by Robert Oliver

Humble Pi - by Matt Parker (Paperback)

GIS and Rs: Practical Machine Learning Tools and Techniques - by Dilan Thomas (Hardcover)

Probability and Statistics for Machine Learning - by Charu C Aggarwal (Hardcover)

Machine Learning with Python - (De Gruyter Textbook) by Sunil Karforma & Subhajit Adhikari & Indrajit de & Siddhartha Bhattacharyya & Jan Platos

Neural Engineering - 3rd Edition by Bin He (Paperback)

Machine Learning Methods - by Hang Li (Hardcover)

Introduction to Machine Learning Systems - by Vijay Janapa Reddi (Hardcover)

Financial Signal Processing and Machine Learning - (IEEE Press) by Ali N Akansu & Sanjeev R Kulkarni & Dmitry M Malioutov (Hardcover)

Machine Learning with SAS - (Paperback)

Your Incredible Eyes - (Training Young Hearts) by Abbey Wedgeworth (Hardcover)

Machine Learning with the Raspberry Pi - by Donald J Norris (Paperback)

Practical Simulations for Machine Learning - by Paris Buttfield-Addison & Mars Buttfield-Addison & Tim Nugent & Jon Manning (Paperback)

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

Data Cleaning and Exploration with Machine Learning - by Michael Walker (Paperback)

Real-World Python - by Lee Vaughan (Paperback)