good machine learning books

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

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

Who Am I and Why Do I Matter? - (Big Questions) by Chris Morphew (Paperback)

Quantware - by Esra Kucukciftci (Hardcover)

Algorithms to Live by - by Brian Christian & Tom Griffiths

Deep Learning from Scratch - by Seth Weidman (Paperback)

30 days of learning and good deeds - by Bachar Karroum (Paperback)

A Citizen's Guide to Artificial Intelligence - by John Zerilli (Paperback)

Maker Pedagogy - (Emerald Points) by Bridget Looney (Hardcover)

AI Model Evaluation - by Leemay Nassery (Paperback)

Look Before You Leap - by Christophe de Greift (Paperback)

Build a Multi-Agent System (from Scratch) - (From Scratch) by Val Andrei Fajardo (Paperback)

Cuda for Deep Learning - by Elliot Arledge (Paperback)

Applied Reinforcement Learning - by Hadi Aghazadeh (Paperback)

Quantization and Fast Inference - by Vivek Kalyanarangan (Paperback)

Gpu Programming with Triton - by Harshwardhan Fartale (Paperback)

The AI Paradox - by Virginia Dignum (Hardcover)

Introduction to Transfer Learning - (Machine Learning: Foundations, Methodologies, and Applications) by Jindong Wang & Yiqiang Chen (Paperback)

Linear Algebra and Optimization for Machine Learning - 2nd Edition by Charu C Aggarwal (Hardcover)

High Accuracy Detection of Mobile Malware Using Machine Learning - (Hardcover)

Bioinformatics and Machine Learning for Cancer Biology - (Hardcover)

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

Advanced Large Language Model Operations - (Springer Applied Machine Learning) by David Stroud (Hardcover)