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Hands-On Artificial Intelligence for Beginners

You're reading from   Hands-On Artificial Intelligence for Beginners An introduction to AI concepts, algorithms, and their implementation

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788991063
Length 362 pages
Edition 1st Edition
Languages
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Authors (2):
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David Dindi David Dindi
Author Profile Icon David Dindi
David Dindi
Patrick D. Smith Patrick D. Smith
Author Profile Icon Patrick D. Smith
Patrick D. Smith
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Table of Contents (15) Chapters Close

Preface 1. The History of AI 2. Machine Learning Basics FREE CHAPTER 3. Platforms and Other Essentials 4. Your First Artificial Neural Networks 5. Convolutional Neural Networks 6. Recurrent Neural Networks 7. Generative Models 8. Reinforcement Learning 9. Deep Learning for Intelligent Agents 10. Deep Learning for Game Playing 11. Deep Learning for Finance 12. Deep Learning for Robotics 13. Deploying and Maintaining AI Applications 14. Other Books You May Enjoy

Summary

Since its beginnings in the 1940s and 1950s, AI has made great bounds. Many of the technologies and ideas that we are utilizing today are directly based on these early discoveries. Over the course of the latter half of the 20th century, pioneers such as Geoffrey Hinton have pushed AI forward through peaks and busts. Today, we are on track to achieve sustained AI development for the foreseeable future.

The development of AI technology has been closely aligned with the development of new hardware and increasingly large data sources. As we'll see throughout this book, great AI applications are built with data constraints and hardware optimization in mind. The next chapter will introduce you to the fundamentals of machine learning and AI. We will also cover probability theory, linear algebra, and other elements that will lay the groundwork for the future chapters.

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