Statistical Learning Theory

Course Information

Course Information


Course: Statistical Learning Theory
Teacher: Hwann-Tzong Chen
Time: T7T8R6
Location: EECS 127
Textbook: PRML, Christopher M. Bishop
Schedule
Contact

Course Objective:
This course is aimed at providing an overview of machine learning methods and helping students develop hands-on experience in using machine learning techniques to analyze data and solve problems.

Course Topics:

      • linear models for regression
    • linear models for classification
    • neural networks
    • kernel methodssparse kernel machines
    • mixture models and EM
    • sampling methods
    • manifold learning
    • ensemble methods



Assignments
  • Assignment #6 Please see the PDF file below.Due on Tuesday,June 4, 2013.
    Posted May 21, 2013, 6:31 AM by 簡均翰
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Materials
  • slt13_ps3.pdf   0k - Mar 11, 2013, 7:46 PM by HT Chen (v2)
    ‎Assignment #3‎
  • slt13_ps2.pdf   0k - Mar 11, 2013, 7:45 PM by HT Chen (v2)
    ‎Assignment #2‎
Showing 2 files from page Materials.