good machine learning books

Artificial Intelligence in Daily Life - by Raymond S T Lee (Hardcover)

Arduino Data Communications - by Robert Thas John (Paperback)

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

Swift 5 for Absolute Beginners - 5th Edition by Stefan Kaczmarek & Brad Lees & Gary Bennett (Paperback)

An Introduction to Statistical Learning - (Springer Texts in Statistics)

3D Data Science with Python - by Florent Poux (Paperback)

Kubernetes for Absolute Beginners - by Brando Sabatini (Paperback)

Embedded Software for the Iot - by Klaus Elk (Paperback)

Think DSP - by Allen B Downey (Paperback)

Hands-On Machine Learning with Scikit-Learn and Pytorch - by Aurélien Géron (Paperback)

Design for Entropy - by Luca M Possati (Paperback)

Machine Learning: Concepts, Tools and Techniques - by Ivy Wright (Hardcover)

Python Crash Course - (Programming) by Aiden Phillips (Hardcover)

The Self-Assembling Brain - by Peter Robin Hiesinger

Machine Learning for Dummies - 3rd Edition by Luca Massaron (Paperback)

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

Practical Machine Learning with AWS - by Himanshu Singh (Paperback)

Feature Engineering for Machine Learning - by Alice Zheng & Amanda Casari (Paperback)

Kubernetes Recipes - by Grzegorz Stencel & Luca Berton (Paperback)