Book
Machine Learning for Finance
Machine Learning for Finance explores new advances in machine learning and shows how they can be applied in the financial sector. It explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.
Offered by
Difficulty Level
Intermediate
Completion Time
15h12m
Language
English
About Book
Who Is This Book For?
This book is ideal for readers who understand math and Python, and want to adopt machine learning in financial applications. The book assumes college-level knowledge of math and statistics.
Machine Learning for Finance
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h12m total length
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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