good machine learning books

Probabilistic Machine Learning in Sustainable Artificial Intelligence - by Richa Singh & Sayani Ghosal & Durgesh Srivastava & Pradeep Kundu

The Essential Book of AI - (Sirius Concepts) by Anne Rooney (Hardcover)

Building Neural Networks from Scratch with Python - by L D Knowings

Designing Machine Learning Systems - by Chip Huyen (Paperback)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

Why Machines Learn - by Anil Ananthaswamy

How AI Works - by Ronald T Kneusel (Paperback)

Hands-On Unsupervised Learning Using Python - by Ankur A Patel (Paperback)

Modern Data Analytics in Excel - by George Mount (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Artificial Intelligence - by Neil Wilkins (Hardcover)

Building Knowledge Graphs - by Jesús Barrasa & Jim Webber (Paperback)

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)

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

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