STAT 442
Statistical Learning and Data Mining Spring 2019 Division III; Quantative/Formal Reasoning;

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In both science and industry today, the ability to collect and store data can outpace our ability to analyze it. Traditional techniques in statistics are often unable to cope with the size and complexity of today’s data bases and data warehouses. New methodologies in Statistics have recently been developed, designed to address these inadequacies, emphasizing visualization, exploration and empirical model building at the expense of traditional hypothesis testing. In this course we will examine these new techniques and apply them to a variety of real data sets.
The Class: Type: lecture
Limit: 14
Expected: 10
Class#: 3764
Requirements/Evaluation: evaluation will be based primarily on homeworks and projects
Extra Info: may not be taken on a pass/fail basis; not available for the fifth course option
Prerequisites: STAT 346 or permission of instructor
Enrollment Preference: seniors and Statistics Majors
Distributions: Division III; Quantative/Formal Reasoning;

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