good machine learning books

Deep Learning for Time Series Cookbook - by Vitor Cerqueira & Luís Roque (Paperback)

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

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

Advances in Machine Learning and Mathematical Modeling for Optimization Problems - (Hardcover)

GIS and Rs: Practical Machine Learning Tools and Techniques - by Dilan Thomas (Hardcover)

Deep Learning in Computational Mechanics - 2nd Edition by Leon Herrmann & Moritz Jokeit & Oliver Weeger & Stefan Kollmannsberger (Hardcover)

Machine Learning with SAS - (Paperback)

Secure Intelligent Machines - by Joel D Yonts (Hardcover)

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

Python for Beginners - (Programming) by Robert Campbell (Paperback)

Building Secure and Reliable Systems - by Heather Adkins & Betsy Beyer & Paul Blankinship & Piotr Lewandowski & Ana Oprea & Adam Stubblefield

The AI Paradox - by Virginia Dignum (Hardcover)

Fundamentals of Machine Learning - by Mia Williams (Hardcover)

Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things - (Hardcover)

Fair Game - by Rob Collie (Hardcover)

Designing Machine Learning Systems - by Chip Huyen (Paperback)

AI and Machine Learning for Coders - by Laurence Moroney (Paperback)

Data Mining and Machine Learning with Applications - (Hardcover)

Machine Learning with Python - (De Gruyter Stem) by Tarkeshwar Barua & Kamal Kant Hiran & Ritesh Kumar Jain & Ruchi Doshi (Paperback)

Machine Learning and Data Mining Applications in Power Systems - (Hardcover)

Natural Language Processing (NLP) and Machine Learning (ML) - (Hardcover)

Machine Learning for Biomedical Applications - by Maria Deprez & Emma C Robinson (Paperback)

Software Design for Python Programmers - by Ronald Mak (Paperback)

Supercomputing Handbook - by Kaila Henry (Hardcover)