STAT 578

Spring 2017

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Credit: 4 hours.

May be repeated if topics vary. Prerequisite: Consent of instructor.

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CRN Type Section Time Day Location Instructor Section Details
36204
Lecture-Discussion
A1
11:00AM -12:20PM
TR
165 Noyes Laboratory
Qu, P
Part of Term:
1
Date Range:
01/17/17-05/03/17
Section Title:
Stat Learning in Data Science
Section Info:
For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration TOPIC: Statistical Learning in Data Science Description: Learn to analyze large complex data using advanced statistical learning methods and algorithms. Topics include data exploration and interpretation for structured and unstructured data; large data processing; optimization tools; recommender system; tensor methods; text mining; and imaging analysis. Software used includes R and Matlab. Students will gain practical skills of data mining and knowledge discovery in various applications such as business, political science, biology and medicine. Prerequisites: STAT 410 or STAT 510; and STAT 425.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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