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Keras Reinforcement Learning Projects

You're reading from   Keras Reinforcement Learning Projects 9 projects exploring popular reinforcement learning techniques to build self-learning agents

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789342093
Length 288 pages
Edition 1st Edition
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (13) Chapters Close

Preface 1. Overview of Keras Reinforcement Learning FREE CHAPTER 2. Simulating Random Walks 3. Optimal Portfolio Selection 4. Forecasting Stock Market Prices 5. Delivery Vehicle Routing Application 6. Continuous Balancing of a Rotating Mechanical System 7. Dynamic Modeling of a Segway as an Inverted Pendulum System 8. Robot Control System Using Deep Reinforcement Learning 9. Handwritten Digit Recognizer 10. Playing the Board Game Go 11. What's Next? 12. Other Books You May Enjoy

Amazon stock price prediction using Python

The stock market forecast has always been a very popular topic: this is because stock market trends involve a truly impressive turnover. The interest that this topic arouses in public opinion is clearly linked to the opportunity to get rich through good forecasts of a stock market title. A positive difference between the purchased stock price and that of the sold stock price entails a gain on the part of the investor. But, as we know, the performance of the stock market depends on multiple factors. In this section, we'll see how Monte Carlo methods can be applied to predict the future stock price of a very popular company: I refer to Amazon, the US e-commerce company, based in Seattle, Washington, which is the largest internet company in the world.

Amazon has been listed on Wall Street since 1997 with the AMZN symbol; its title is...

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