Course Material
Syllabus
Discussion Papers Background Reading Optimization Example Bayesian Example 1 (JAGS code) (slice sampling) (additional code) Bayesian Example 2 (slice sampling) (additional code) (data) Scraping Example Topics Example 1 Topics Example 2 Supervised Learning Example (additional code) Supervised Learning Example 2 Ideal Point Estimation Example Nonparametrics Example Intro Slides MLE Review Slides Bayesian Notes Text Analysis Slides Machine Learning Slides Deep Learning Slides Ideal Point Estimation Slides Nonparametrics Slides Assignment 1 (data) Assignment 2 Assignment 3 (data) Course ScheduleClass 1 (Aug. 26) - Intro, MLE Review Class 2 (Sept. 2) - Bayesian Statistics Class 4 (Sept. 16) - Bayesian Statistics Class 5 (Sept. 23) - Bayesian Statistics, Text Analysis Class 6 (Sept. 30) - Unsupervised Learning, Supervised Learning Class 7 (Oct. 7) - Supervised Learning Class 8 (Oct. 14) - Supervised Learning Class 9 (Oct. 21) - Class 10 (Oct. 28) - Class 11 (Nov. 4) - Class 12 (Nov. 11) - Class 13 (Nov. 18) - Thanksgiving BreakClass 14 (Dec. 2) - |