Artificial Intelligence 2: Machine Learning CSCI 4202

 

Course offered Spring 2006.

 

Location:          

Tuesday and Thursday 02:00pm-03:15pm in ECCR 133

Instructor:

Professor Greg Grudic

Office:            

ECOT 525

Office Hours:

Tuesday and Thursday 3:20 to 3:50

Tuesday and Thursday 11:30 to 12:00

And By Appointment

Phone:

303-492-4419

Email:

grudic@cs.colorado.edu

Course URL:

http://www.cs.colorado.edu/~grudic/teaching/CSCI4202_2006

 

 

Course Syllabus

 

 

Class Survey Survey.txt (email to me by end of week)

 

 

Grading:

    Project                                   50%

    Class Participation                10%

    Homework Assignments       30%

    Quizzes                                  10%

 

Homework:

 

 

Robotics Project Baseline Code: Robotics_Project_Baseline_Code.zip

Sample Images:

http://www.cs.colorado.edu/~grudic/path1.zip

http://www.cs.colorado.edu/~grudic/path2.zip

http://www.cs.colorado.edu/~grudic/path3.zip

 

 

Quiz 3: Worth 14% of your final mark. Hand in Your Completed Quiz Under My Office Door by 9:00AM, Monday May 1!

 

Lectures:

 

  1. January 17, 2006: Introduction
  2. January 19, 2006: Introduction
  3. January 24, 2006: Nearest Neighbor Classification and Regression
  4. January 26, 2006: Model Selection and Estimating Model Error
  5. January 31, 2006. Introduction to Regression. Matlab Regression Code
  6. February 2, 2006:  Introduction to Regression. Matlab Regression Code
  7. February 7, 2006: Introduction to Regression. Matlab Regression Code
  8. February 9, 2006: Kernels Demo
  9. February 14, 2006: Introduction to Classification
  10. February 16, 2006: The Perceptron Algorithm (Demo Code)
  11. February 21, 2006: Support Vector Machine Classification
  12. February 23, 2006: Support Vector Machine Classification
  13. February 28, 2006: Support Vector Machine Regression. Project Discussion.
  14. March 2, 2006: Neural Networks
  15. March 7, 2006: Neural Networks
  16. March 9, 2006: Decision Trees
  17. March 14, 2006: Talk in ECOT 831
  18. March 16, 2006: Ensemble Learning
  19. March 21, 2006: Bayesian Learning
  20. March 23, 2006: Class Project Presentations
  21. March 28, 2006: Spring Break
  22. March 30, 2006: Spring Break
  23. April 4, 2006: Feature Selection
  24. April 6, 2006: Clustering
  25. April 11, 2006: Dimensionality Reduction
  26. April 13, 2006: Probably Approximately Correct (PAC) learning
  27. April 18, 2006: Reinforcement Learning
  28. April 20, 2006: Ensemble Learning
  29. April 25, 2006: Ensemble Learning
  30. April 27, 2006: Class Cancelled
  31. May 2, 2006: Review
  32. May 4, 2006: Reinforcement Learning