MSDS 451-DL Financial Machine Learning.

This course introduces applications of machine learning techniques to finance. Financial data presents special challenges to standard machine learning techniques, engendering significant adaptations. Topics include a basic introduction to finance, nuances of financial features engineering, techniques to avoid various biases during model training, and example applications such as meta-labeling. Recommended prior course: MSDS 413-DL Time Series Analysis and Forecasting. Prerequisites: (1) MSDS 420-DL Database Systems or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.

Python is the primary language in this course. Students benefit by taking the Python Learning Studio and MSDS 430 Python for Data Science prior to taking this course.

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