LING105
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LING 105 - Predictive Modeling in Linguistics
Full Course Title
Predictive Modeling in Linguistics
Instructor Name(s)
Gries
Course Description
Advanced methods in quantitative linguistics. Topics may include data exploration and visualization, classification trees, random forests, regression modeling, bootstrap methods, and Bayesian data analysis. Emphasis on building predictive models of linguistic data, with a focus on simulation, model comparison, and performance evaluation. Students complete statistical programming assignments and projects using real-world data.
Unit Value
4
Maximum number of times course can be repeated for additional credit
0
Maximum Units
4
Prerequisites
Programs
LING105
is a
completion requirement
for:
- (from the following course set: )
- (from the following course set: )
- (from the following course set: )
- (from the following course set: )