Machine Learning for Finance: Data algorithms for the markets and deep learning from the ground up for financial experts and economics 9781789136364, 1789136369
Plan and build useful machine learning systems for financial services, with full working Python code Key Features Build
1,481 53 21MB
English Pages xiv, 435 pages: illustrations; 24 cm Year 2018;2019
Table of contents :
Neural networks and gradient-based optimization --
Applying machine learning to structured data --
Utilizing computer vision --
Understanding time series --
Parsing textual data with natural language processing --
Using generative models --
Reinforcement learning for financial markets --
Privacy, debugging, and launching your products --
Fighting bias --
Bayesian inference and probabilistic programming.
Neural networks and gradient-based optimization --
Applying machine learning to structured data --
Utilizing computer vision --
Understanding time series --
Parsing textual data with natural language processing --
Using generative models --
Reinforcement learning for financial markets --
Privacy, debugging, and launching your products --
Fighting bias --
Bayesian inference and probabilistic programming.
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