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Pick up one of  the Lastest A.I. Books from these respected Authors.

A.I. BOOKS

1. Artificial Intelligence – A Modern Approach (3rd Edition) by Stuart Russell & Peter Norvig: This book provides an overview of various topics revolving around AI in a less technical manner. It covers subjects such as search algorithms, game theory, multi-agent systems, and statistical Natural Language Processing.

2. Machine Learning for Dummies by John Paul Mueller and Luca Massaron: This book provides an entry point for anyone looking to get a foothold on Machine Learning. It covers all the basic concepts and theories of machine learning and how they apply to the real world.

3. Artificial Intelligence and Machine Learning by Vinod Chandra S. S.: This book uncovers the gap between the challenging environments of artificial intelligence and machine learning. All the concepts are explained with the help of case studies and worked-out examples.

4. Make Your Own Neural Network by Tariq Rashid: This book provides a step-by-step journey through the mathematics of Neural Networks. It starts with very simple ideas and gradually builds up an understanding of how neural networks work.

5. Machine Learning: The New AI by Ethem Alpaydin: This book gives a concise overview of machine learning. It describes its evolution, explains important learning algorithms, and presents example applications.

6. Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies by John D. Kelleher, Brian Mac Namee, Aoife D’Arcy: This book covers all machine learning fundamentals, practical applications, working examples, and case studies.

7. The Hundred-Page Machine Learning Book by Andriy Burkov: This book is regarded by many industry experts as the best book on machine learning. For newcomers, it gives a thorough introduction to the fundamentals of machine learning.

8. Artificial Intelligence for Humans  by Jeff Heaton: This book helps its readers get an overview and understanding of AI algorithms. It is meant to teach AI to those who don’t have an extensive mathematical background.

9. Machine Learning for Beginners by Chris Sebastian: This book traces the history of the early days of machine learning to what it has become today. It describes how big data is important for machine learning and how programmers use it to develop learning algorithms.

10. Artificial Intelligence: The Basics by Kevin Warwick: This book provides a basic overview of different AI aspects and the various methods of implementing them.

The prices and purchase links for these books can be found on various online platforms such as Amazon, Barnes & Noble, and others.