good machine learning books

Practical Machine Learning and Image Processing - by Himanshu Singh (Paperback)

Practical Web Scraping for Data Science - by Seppe Vanden Broucke & Bart Baesens (Paperback)

An Introduction to Statistical Learning - (Springer Texts in Statistics) 2nd Edition

Learn Keras for Deep Neural Networks - by Jojo Moolayil (Paperback)

Coding with AI - by Jeremy Morgan (Paperback)

Natural Language Processing Projects - by Akshay Kulkarni & Adarsha Shivananda & Anoosh Kulkarni (Paperback)

Introduction to Computational Thinking - by Thomas Mailund (Paperback)

AI Ethics - (Artificial Intelligence: Foundations, Theory, and Algorithms) by Paula Boddington (Hardcover)

Introduction to Autonomous Driving - by Weisong Shi & Yuankai He (Hardcover)

Python for Natural Language Processing - (Cognitive Technologies) 3rd Edition by Pierre M Nugues (Hardcover)

State-Of-The-Art Deep Learning Models in Tensorflow - by David Paper (Paperback)

Machine Learning with SAS Viya - (Paperback)

Python Workout, Second Edition - by Reuven Lerner (Paperback)

Php, Mysql, & JavaScript All-In-One for Dummies - by Richard Blum (Paperback)

Generative Art - by Amir Husain (Hardcover)

MongoDB in Action, Third Edition - (In Action) by Arek Borucki (Paperback)

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

Artificial Neural Networks with Java - 2nd Edition by Igor Livshin (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)

Brains Minds Machines - by Tomaso Poggio & Marco Magrini (Paperback)

Build a Deepseek Model (from Scratch) - (From Scratch) by Raj Abhijit Dandekar & Rajat Dandekar & Naman Dwivedi & Sreedath Pana (Paperback)

Mathematical Modeling - by Stefan Heinz

Python 3 Using Chatgpt/GPT-4 - (MLI Generative AI) by Oswald Campesato (Paperback)

Geoai - by Ismael Chivite & Nicholas Giner & Matt Artz