¡Machine Learning for Finance¡ explores new advances in machine learning and shows how they can be applied across the fi
2,314 265 21MB
English Year 2019
Table of contents :
Machine Learning for Finance
Contributors
Preface
1. Neural Networks and Gradient-Based Optimization
2. Applying Machine Learning to Structured Data
3. Utilizing Computer Vision
4. Understanding Time Series
5. Parsing Textual Data with Natural Language Processing
6. Using Generative Models
7. Reinforcement Learning for Financial Markets
8. Privacy, Debugging, and Launching Your Products
9. Fighting Bias
10. Bayesian Inference and Probabilistic Programming
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Index