Machine Learning for Trading
Offered By: Georgia Institute of Technology via Udacity
Course Description
Overview
This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The focus is on how to apply probabilistic machine learning approaches to trading decisions. We consider statistical approaches like linear regression, KNN and regression trees and how to apply them to actual stock trading situations.
Syllabus
- Manipulating Financial Data in Python
- Computational Investing
- Machine Learning Algorithms for Trading
Taught by
Tucker Balch
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