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IDS 575 - Machine Learning & Statistics

Campus: Chicago

Description:

Generalized Linear Models; Maximum Likelihood and Expectation Maximization; Sampling; Factor Analysis; Support Vector Machines; Random Forests; Boosting; Time Series Analysis; Sampling and Optimization. Course Information: Extensive computer use required. Prerequisite(s): IDS 570.

Special Instructions:

This course is taught entirely online. Students will need a computer or device and reliable internet connection to be able to access video and course content. This course will hold live lectures at the time(s) posted in the UIC Schedule. Generalized Linear Models; Maximum Likelihood and Expectation Maximization; Sampling; Factor Analysis; Support Vector Machines; Random Forests; Boosting; Time Series Analysis; Sampling and Optimization. Course Information: Extensive computer use required. Prerequisite(s): IDS 570.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Summer


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