Curriculum

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Descriptions

MLDS 401: Machine Learning I

Description

The objectives of the course are two-fold:

• To learn to use common parametric regression and classification modeling techniques to develop predictive models for medium to large data sets.
• Understand some basic theory behind these methods.

The course covers multiple regression, logistic regression, discriminant analysis, generalized linear models and Cox proportional hazards regression. R software is used to apply the methods to real data sets. A group project involving predictive modeling for a large data set is required.