good machine learning books

The Hundred-Page Machine Learning Book - by Andriy Burkov (Paperback)

Deep Learning with Pytorch, Second Edition - by Luca Antiga & Eli Stevens & Howard Huang & Thomas Viehmann (Paperback)

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

Statistical Machine Learning for Human Behaviour Analysis - (Hardcover)

Thoughtful Data - (Paperback)

Machine Learning at Scale with H2O - by Gregory Keys & David Whiting (Paperback)

A Kids Book about AI - by Neha Shukla (Hardcover)

Python for Beginners - (Programming) by Aiden Phillips

Make: AI Robots - by Reade Richard & Brenda Shivanandan & Andy Forest & Denzel Edwards (Paperback)

Python in Easy Steps - (In Easy Steps) 2nd Edition by Mike McGrath (Paperback)

Practicing Trustworthy Machine Learning - by Yada Pruksachatkun & Matthew McAteer & Subho Majumdar (Paperback)

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

The AI Pocketbook - by Emmanuel Maggiori (Paperback)

Machines that Think-History of Artificial Intelligence - (Rise of Cognitive Computing: AI Evolution from Origins to Adoption) by Herman Strange

50 AI Ideas You Really Need to Know - by Keith Mansfield (Paperback)

Machine Learning For Dummies - 2nd Edition by John Paul Mueller (Paperback)

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

Multivariate Statistics and Machine Learning in R for Beginners - by Andreas Tilevik (Hardcover)

Graph Algorithms the Fun Way - by Jeremy Kubica (Paperback)

Deep Learning from Scratch - by Seth Weidman (Paperback)

Applied Machine Learning Explainability Techniques - by Aditya Bhattacharya (Paperback)

Machine Learning on Kubernetes - by Faisal Masood & Ross Brigoli (Paperback)

Feature Store for Machine Learning - by Jayanth Kumar M J (Paperback)

What Are the Challenges of Developing Ai? - (The Science of AI) by Traci Pedersen (Hardcover)