good machine learning books

Deep Learning with Applications Using Python - by Navin Kumar Manaswi (Paperback)

Ubiquitous Intelligence and Computing - by Braylen Stevenson (Hardcover)

Practical Cyber Intelligence - by Adam Tilmar Jakobsen (Hardcover)

Applied Natural Language Processing with Python - by Taweh Beysolow II (Paperback)

Grokking Deep Learning - by Andrew Trask (Paperback)

The Developer's Field Guide to Modern Software Engineering - by Nico Loubser (Paperback)

Embedded Rtos Design - by Colin Walls (Paperback)

Machine Learning with SAS - (Paperback)

The Human Machine - by R McNeill Alexander (Hardcover)

Introduction to Foundation Models - by Pin-Yu Chen & Sijia Liu (Hardcover)

Modern Pyqt - by Joshua Willman (Paperback)

Python Made Easy - by Marco Gähler (Paperback)

Thinking Machines - by Shigeyuki Takano (Paperback)

Google Earth Engine Applications - (Paperback)

Advances in UAV Detection, Classification and Tracking - (Hardcover)

Speed of Information-Processing and Intelligence - by Philip A Vernon (Hardcover)

Recent Progress in Artificial Neural Networks - by Jeremy Rogerson (Hardcover)

How to Build a Mind - (Maps of the Mind) by Igor Aleksander (Hardcover)

Mathematical Foundations of Reinforcement Learning - by Shiyu Zhao (Hardcover)

Natural Language Processing - 2nd Edition by Raymond Lee (Hardcover)

Transformers for Natural Language Processing and Computer Vision - Third Edition - 3rd Edition by Denis Rothman (Paperback)

Deep Learning with R, Third Edition - by François Chollet & Tomasz Kalinowski (Paperback)

Deep Learning on Embedded Systems - by Tariq M Arif (Hardcover)

Architecting Data and Machine Learning Platforms - by Marco Tranquillin & Valliappa Lakshmanan & Firat Tekiner (Paperback)