Machine Learning and Artificial Intelligence Books

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.

Print length: 398 pages

Published: January 31, 2024

ISBN: 978-1804610541 (ISBN10: 1804610542)

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

Print length: 270 pages

Published: March 10, 2023

ISBN: 978-1804617748 (ISBN10: 1804617741)

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.

Print length: 413 pages

Published: September 5, 2023

ISBN: 978-1098135720 (ISBN10: 1098135725)

Python Debugging for AI, Machine Learning, and Cloud Computing

by Dmitry Vostokov

This textbook offers advanced debugging techniques and tools tailored for complex environments in modern computing.

Print length: 256 pages

Published: December 16, 2023

ISBN: 978-1484297445 (ISBN10: 148429744X)

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.

Print length: 384 pages

Published: April 19, 2012

ISBN: 978-1617290183 (ISBN10: 9781617290183)

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.

Print length: 452 pages

Published: September 9, 2019

ISBN: 978-1617295560 (ISBN10: 1617295566)

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.

Print length: 368 pages

Published: November 24, 2021

ISBN: 978-1119796763 (ISBN10: 1119796768)

With each year, artificial intelligence (AI) firmly establishes its position in various spheres of life. This triggers increased interest in learning in this area, making it important to have access to quality sources of knowledge. The market offers a multitude of books on AI, but for effective learning, it's crucial to choose the best among them.

Best Artificial Intelligence Books

Selecting the right educational materials is considered key to a deep understanding of AI. Not all textbooks are equally useful, and many of them offer only a superficial acquaintance with the topic.
The best artificial intelligence books for beginners not only introduce the basics of technology but also guide through complex concepts, emphasizing the practical application of knowledge.

Books for Understanding Artificial Intelligence

When choosing machine learning and artificial intelligence books, consider your current level of knowledge and interests. Here are a few tips for selection:
  • Beginners should look for guides that offer a basic introduction to artificial intelligence, explaining fundamental principles and terminology.
  • Those who already have basic knowledge might prefer literature that deepens understanding of machine learning and neural networks.
  • Professionals might be interested in materials focusing on specific algorithms, training methodologies, and their practical application in development.
  • Theoretical enthusiasts should seek books covering the philosophical and ethical aspects of AI.
Self-education in the field of artificial intelligence and machine learning is considered an important step towards mastering one of the most promising areas of the modern age. Choosing quality educational materials will not only allow for a deeper understanding of AI but also teach how to apply the acquired knowledge in practice.
Thanks to the availability of artificial intelligence books in PDF, knowledge of the latest achievements and methods in AI and machine learning has become even more accessible to a wide range of readers.