INFO 6150

Last Updated

  • Schedule of Classes - February 12, 2019 8:29PM EST
  • Course Catalog - January 26, 2019 2:00PM EST

INFO 6150
Advanced Topic Modeling

Course information provided by the 2018-2019 Catalog.

Statistical topic models such as LDA provide a powerful tool for discovering themes in large unlabeled text corpora. They are increasingly popular in a wide range of fields, both as a data-driven alternative to manual document coding methods, and also as an example of a difficult but tractable problem in statistical inference. This course will cover Bayesian model construction, inference techniques, evaluation, and applications beyond text such as community detection in networks and population admixture in genetics.


Prerequisites/Corequisites Prerequisite: familiarity with Bayesian statistics and probabilistic modeling.

Permission Note Enrollment limited to: graduate students or seniors.

When Offered Fall.

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Syllabi: none

  •   Regular Academic Session.  Combined with: CS 6788

  • 3 Credits Graded

  • 16815 INFO 6150   SEM 101

  • Instruction Mode: In Person

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