LIN 373N LIN 373N. Machine Learning Toolbox for Text Analysis. 3 Hours.
Examine basic statistical methods for machine learning, with an emphasis on applications that have to do with text. Explore supervised learning (e.g., logistic regression, support vector machines, neural networks) and unsupervised learning (e.g., clustering, dimensionality reduction). Utilize Python programming. Three lecture hours a week for one semester. Linguistics 373 (Topic: Machine Learning Text Analysis) and 373N may not both be counted. Prerequisite: Upper-division standing.