good machine learning books

Convex Optimization for Machine Learning - by Changho Suh (Hardcover)

Code First Machine Learning - by Ronald T Kneusel (Paperback)

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

Practical Applications of Machine Learning and Artificial Intelligence in the Food Industry - by Amit K Jaiswal & Abhishek Kaushik & Swarna Jaiswal

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

Neural Networks and Deep Learning - 2nd Edition by Charu C Aggarwal (Hardcover)

Python Machine Learning - 3rd Edition by Sebastian Raschka & Vahid Mirjalili (Paperback)

Machine Learning and AI for Advanced Experimental Mechanics and Materials Design - by Alok Behera & Debashish Das & Pikee Priya (Paperback)

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

Deep Learning - by Christopher M Bishop & Hugh Bishop (Hardcover)

Deep Generative Modeling - 2nd Edition by Jakub M Tomczak (Hardcover)

Grokking Deep Learning - by Andrew Trask (Paperback)

Deep Learning with Keras - by Antonio Gulli & Sujit Pal (Paperback)

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

Geoai - by Ismael Chivite & Nicholas Giner & Matt Artz

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

Python Debugging for Ai, Machine Learning, and Cloud Computing - by Dmitry Vostokov (Paperback)

Deep Learning from Scratch - by Seth Weidman (Paperback)

How Does AI Work? - (The Science of AI) by Traci Pedersen (Hardcover)

AI Innovators - (The Science of AI) by John Allen (Hardcover)

Math for Deep Learning - by Ronald T Kneusel (Paperback)

Deep Learning with TensorFlow and Keras - Third Edition - 3rd Edition by Amita Kapoor & Antonio Gulli & Sujit Pal (Paperback)