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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

Introduction to AI in finance

Despite being one of the most computationally intensive fields, financial services is full of heuristics. The application of advanced AI techniques is tenuous at best; many firms simply don't engage in strategies that allow for easy adoption of AI. Talent wars for top quantitative talent with Silicon Valley has also made the problem worse. You may be saying to yourself don't I need to have a finance background to work with this data? It's worth noting that two of the world's top hedge funds were founded by teams that participated in the famous Netflix Machine Learning challenge. While there is incredible benefit in studying the techniques of algorithmic trading, you can get started with your knowledge of ANNs and how to handle financial data appropriately with them.

Now, let's start setting up the landscape. In financial services...

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