good machine learning books

The Deep Learning Revolution - by Terrence Sejnowski (Paperback)

Architected Intelligence - by Jacob Miller & Jeremy Mumford (Hardcover)

Machine Learning Concepts with Python and the Jupyter Notebook Environment - by Nikita Silaparasetty (Paperback)

Python for Beginners - by Lucas Lawrence (Hardcover)

The Big Book of Small Python Projects - by Al Sweigart (Paperback)

Deep Learning - (Adaptive Computation and Machine Learning) by Ian Goodfellow & Yoshua Bengio & Aaron Courville (Hardcover)

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

Real-World Python - by Lee Vaughan (Paperback)

Machine Learning in Protein Science - by Jinjin Li (Hardcover)

Learning Helm - by Matt Butcher & Matt Farina & Josh Dolitsky (Paperback)

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

MATLAB Machine Learning Recipes - 4th Edition by Layla Mohsen & Michael Paluszek & Stephanie Thomas (Paperback)

Machine Learning for Hackers - by Drew Conway & John Myles White (Paperback)

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

Architecting Data and Machine Learning Platforms - by Marco Tranquillin & Valliappa Lakshmanan & Firat Tekiner (Paperback)

So That's How It Works: Robots and AI - by Tom Jackson (Hardcover)

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

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)

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