Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 451-DL : Financial and Risk Analytics


Description

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 and Data Preparation 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

*Prior to spring 2021, this course was titled Financial and Risk Analytics.

 


Winter 2023
Start/End DatesDay(s)TimeBuildingSection
01/03/23 - 03/18/23Optional Sync M
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Sanyal, Dipyaman
Online
Open
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