good machine learning books

Machine Learning Platform Engineering - (From Scratch) by Benjamin Tan Wei Hao & Shanoop Padmanabhan & Varun Mallya (Paperback)

Machine Learning Brick by Brick, Epoch 1 - by Dmitry Vostokov (Paperback)

Introduction to Machine Learning - by Jacob Pearson (Hardcover)

Machine Learning and Artificial Intelligence - by Carl Dennis (Paperback)

Machine Learning for Experiment Design - by Jashan Jii (Paperback)

Beginning Machine Learning in IOS - by Mohit Thakkar (Paperback)

Scikit-learn Cookbook - Third Edition - 3rd Edition by John Sukup (Paperback)

Grokking Bayes - by Quan Nguyen (Paperback)

Data Science and Machine Learning Demystified - by Liam Stone (Paperback)

A.I. Survival Guide - by Cara Cusack & Martin Cusack (Paperback)

Python Deep Learning - Third Edition - 3rd Edition by Ivan Vasilev (Paperback)

Python 3 and Feature Engineering - by Oswald Campesato (Paperback)

Awkward Intelligence - by Katharina A Zweig (Hardcover)

Machine Learning with PyTorch and Scikit-Learn - (Paperback)

How AI Works - by Ronald T Kneusel (Paperback)

Applied Recommender Systems with Python - by Akshay Kulkarni & Adarsha Shivananda & Anoosh Kulkarni & V Adithya Krishnan (Paperback)

Machine Learning For Beginners - by Jonathan S Walker (Paperback)

Machine Learning for Kids - by Dale Lane (Paperback)

Computer Vision Using Deep Learning - by Vaibhav Verdhan (Paperback)

Rebooting the Machines - by Ayanna Howard (Hardcover)

Python 3 for Machine Learning - by Oswald Campesato (Paperback)

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