The financial market is a very important part of any economy. For an economy to thrive, its financial market must be solid. Since the advent of machine learning, companies have begun to adopt algorithmic trading in the purchase of stocks and other financial assets. There has been proven successful with this method, and it has risen in prominence over time. Given its rise, several machine models have been developed and adopted for algorithmic trading. One popular machine learning model for trading is the time series analysis. You have already learned about reinforcement learning and Keras, and in this chapter, they will be used to develop a model that can predict stock prices.
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Book Overview & Buying
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Table Of Contents
Python Reinforcement Learning Projects
By :
Python Reinforcement Learning Projects
By:
Overview of this book
Reinforcement learning is one of the most exciting and rapidly growing fields in machine learning. This is due to the many novel algorithms developed and incredible results published in recent years.
In this book, you will learn about the core concepts of RL including Q-learning, policy gradients, Monte Carlo processes, and several deep reinforcement learning algorithms. As you make your way through the book, you'll work on projects with datasets of various modalities including image, text, and video. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore technologies such as TensorFlow and OpenAI Gym to implement deep learning reinforcement learning algorithms that also predict stock prices, generate natural language, and even build other neural networks.
By the end of this book, you will have hands-on experience with eight reinforcement learning projects, each addressing different topics and/or algorithms. We hope these practical exercises will provide you with better intuition and insight about the field of reinforcement learning and how to apply its algorithms to various problems in real life.
Table of Contents (12 chapters)
Preface
Free Chapter
Up and Running with Reinforcement Learning
Balancing CartPole
Playing Atari Games
Simulating Control Tasks
Building Virtual Worlds in Minecraft
Learning to Play Go
Creating a Chatbot
Generating a Deep Learning Image Classifier
Predicting Future Stock Prices
Looking Ahead
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