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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

Deep learning in trading

Trading is the buying and selling of items in the financial market; in financial parlance, we call these items derivatives. Trades can be short-term (inter-day), medium-term (several days), or long-term (several weeks or more). According to experts at JP Morgan Chase, one of the largest banks in the world, AI applications are proven to be better suited than humans at short and medium-term trading strategies. In this section, we'll explore some fundamental strategies for developing intelligent trading algorithms for short and medium- term trades. But first, let's cover some basic concepts.

Trading strategies seek to exploit market inefficiencies in order to make profit. One of the core policies in algorithmic training is called alpha, which is a measure of performance. Alpha measures the active return on a specific investment by matching a stock...

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