Machine Learning in Finance

Table of Contents

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   Book Overview
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   Chapter 1 Introduction
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   Chapter 2 Probabilistic Modeling
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   Chapter 3 Bayesian Regression and Gaussian Processes
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   Chapter 4 Feedforward Neural Networks
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   Chapter 5 Interpretability
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   Chapter 6 Sequence Modeling
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   Chapter 7 Probabilistic Sequence Modeling
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   Chapter 8 Advanced Neural Networks
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    Chapter 9 Introduction to Reinforcement Learning
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    Chapter 10 Applications of Reinforcement Learning
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    Chapter 11 Inverse Reinforcement Learning and Imitation Learning
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    Chapter 12 Frontiers of Machine Learning and Finance