Computer Science 9860
Computer Science 9860 -- Advanced Machine Learning
(For Masters and PhD students with some background knowledge in
... Constantly Under Construction, check often.
Dr. Charles Ling, Professor
Office Hours: Wed, 11:30 am to 11:30 pm, or by appointment.
Office: Middlesex College 28C.
E-mail: firstname.lastname@example.org (the best contact method)
Tentative schedule (subject to change)
Course Outline (pdf file),
DARPA Grand Challenge (see videos for
Netflix Data Mining Competition,
Heritage Provider Network Health Prize ($3M),
The game of checker,
The first learning program for Checker by Samuel in 1950's,
Chinook, from U of Alberta.
Chapter 2 (read yourself),
PhD thsis on Oblique Trees, mainly Chapters 1-3
a paper on Model Trees
Artificial Neural Networks. Also
ANN from Wikipedia.
Computers vs the brain,
Kurzweil's prediction on computers in the future
a great book chapter
We will use Prof. Andrew Ng at Stanford's ML lecture this week.
Please register and watch video (Parts I, II, III).
SVM (Support Vector Machine):
an introduction paper,
a great paper on choosing SVM parameters
Research paper: Ensemble Methods in Machine Learning (get it
Supplementary reading: An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:
Bagging, Boosting, and Randomization (get it
Unsupervised Learning or Clustering:
Chapter 11.1 from an online AI textbook
Slides for the book.
- Nov 9: Review and discussions
- Midterm exam: Nov 16.
What will be covered?
- Nov 23: Student Presentation:
- Nov 30: Student Presentation: James Kwarteng, Asaduzzaman Babu, Besat Zardosht, Graham Foster and Mark Dittmer
- Dec 7: Student Presentation: Will Beldman, David DeAngelis & Yan Luo, Andres Ayala & ilse Leal,
Arvand Dorgoly & Kaylen Wheeler
- Project report due: Dec 16 (email your report to email@example.com)