STA 7934 AND CIS 6930

Textbook

The Elements of Statistical Learning, Second Edition
Hastie, Tibshirani, and Friedman
Springer-Verlag 2001

The second edition is available from Amazon, or as a free download.


Presentation Schedule

Date Presenter Topic Materials
1/20/10 Dr. Casella Linear Methods for Regression Text Sections 3.1-3.5
2/1/10 Beka Steorts Linear Methods for Classification Text 4.1-4.3,
  • Feb1Notes
  • Feb1Exercises
  • 2/3/10 Ryan Close Logistic Regression Text 4.4
  • Feb3Notes
  • 2/8,10/10 Josh Splines Text 5.1-5.4
  • Feb8Notes
  • Feb8Exercises
  • 2/15,17/10 Dmitry NPR,Kernels Text 5.1-4/5.6,8
  • Feb10to15to17Notes
  • 2/22/10 Li Chen Logistic Regression Text 7.1-5
  • Feb22Notes
  • 2/24/10 Manu BIC/MDL Text 7.6-8
  • Notes
  • RegressionCode1
  • RegressionCode2
  • 3/1/10 Manu CrossVal/Bootstrap Text 7.10-11 or 12
  • CrossValidationNotes
  • 3/3/10 Nirmalya Model Inference Text 8.1-8.4
    3/8/10 Spring Break Spring Break Spring Break
    3/10/10 Spring Break Spring Break Spring Break
    3/15/10 Clint Add. Models/TreesText 9.1-2
  • TreesNotes
  • 3/17/10 Sile Hu Boosting Text 10.1-10.5
    3/22/10 XXX Boosting Text 10.6-10.9
    3/24/10 Shibashish SVM Text 12.1-12.3.1
  • SVMNotesShibashish
  • 3/29/10 Shibashish/Vishesh SVM Text 12.1-3.1/12.3.2-.3.7
    3/31/10 Vishesh SVM Text 12.3.2-.3.7
    4/5/10 VisheshAndRyan SVM/RVM Text 12.3.2.-.3.7/Notes
    4/7/10 Alex Disc. Analysis Text 12.5-7/Notes
    4/12/10 Ryan Gaussian Processes Bishop/Papers
    4/14/10 Claudio Clustering Text 14.1-4
    4/16/10 Luis PC Curves/Surfaces Text 14.5
    4/19/10 Chris NNMF Text 14.5/Papers
    4/219/10 Daniel ICA Text 14.7