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Apr 30, 2024
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2018-19 Graduate Catalog [ARCHIVED CATALOG]
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BIA 6303 - Predictive Models
(2)
Building on content from BIA6301, the course will teach advanced data mining and machine learning to discover information and build predictive models from large sets of data. Emphasis is placed selecting, tuning and validating models. Methods will include Penalized Multiple and Logistic regression, Ensembles, MCMC, Neural Nets, Kernel Methods, Bayesian networks, longitudinal data analysis and product launch models. The primary software tool for this class will be Python. R and Spark will also be incorporated.
Prerequisite: BIA 6301 , BIA 6312 or consent of the program director.
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