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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

Basic statistics and probability theory

Probability, the mathematical method for modeling uncertain scenarios, underpins the algorithms that make AI intelligent, helping to tell us how our systems should reason. So, what is probability? We'll define it as follows:

Probability is a frequency expressed as a fraction of the sample size, n [1].

Simply said, probability is the mathematical study of uncertainty. In this section, we'll cover the basics of probability space and probability distributions, as well as helpful tools for solving simple problems.

The probability space and general theory

When probability is discussed, it's often referred to in terms of the probability of a certain event happening. Is it going...

You have been reading a chapter from
Hands-On Artificial Intelligence for Beginners
Published in: Oct 2018
Publisher: Packt
ISBN-13: 9781788991063
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