Hours: 6hs per week . Aprox. 4 months
Built by Georgia Tech
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.
To learn more about it, visit Machine Learning for Trading