Machine Learning and Artificial Intelligence Books

Machine Learning and its Applications

by Peter Wlodarczak

This manual explores practical implementations of machine learning across various industries, offering case studies, techniques, and best practices.

Data Labeling in Machine Learning with Python

by Vijaya Kumar Suda

The book provides a comprehensive guide to data labeling, featuring practical techniques, tools, and real-world examples for effective machine learning projects.

Machine Learning in Microservices

by Mohamed Abouahmed, Omar Ahmed

This book presents practical techniques and real-world examples to effectively deploy and manage machine learning models in microservices environments

Machine Learning with Python Cookbook

by Kyle Gallatin and Chris Albon

Textbook offers practical solutions and techniques for tackling real-world machine learning problems using Python.

Machine Learning in Action

by Peter Harrington

This book demystifies ML algorithms, offering practical guidance and Python code examples to apply machine learning techniques in real-world projects effectively.

GANs in Action: Deep Learning with Generative Adversarial Networks

by Jakub Langr, Vladimir Bok

This book offers an in-depth exploration of Generative Adversarial Networks, blending theory with practical examples to demonstrate GANs' revolutionary impact on AI and machine learning.

Artificial Intelligence For Dummies, 2nd Edition

by John Paul Mueller, Luca Massaron

This textbook demystifies AI, providing a clear introduction to concepts, technologies, and real-world applications for beginners and enthusiasts alike.