Note about recorded lectures: you need at least a DSL connection. If you have a MacBook Pro, you can "watch the recorded lecture" by setting Firefox to run with Rosetta Emulation. Otherwise, just click on the ".wmv" link and watch it with Windows Media Player. You'll need to download and follow along on the slides manually if you do this.

Date	Lecture	Reading	Assignments
1/5	Introduction, Learning, Representation, Supervised Learning, k-Nearest Neighbors, Instance-Based Learning Lecture 1 PPT (1 MB) Lecture 1 PDF (11 MB) Watch the recorded lecture Watch just the .wmv (no slides, wider field of view) - Video: Real-Time Expression Classification - Video: DARPA Grand Challenge, MIT; more Urban Challenge videos - 1-NN/Voronoi diagram applet	Alpaydin Ch. 1, 2.1, 2.4-2.9 Mitchell p. 230-236 (class handout)	Homework 1 assigned Due January 10
1/12	Decision Trees, Rule Learning, Evaluation 1, Weka Lecture 2 PPT (850 KB) Lecture 2 PDF (5 MB) Watch the recorded lecture Watch just the .wmv - DecTree: Diagnosis of Psychotic Disorders - DecTree: PredictionWorks Targeted Marketing - Class height/weight vs. gender data file: gender.arff	Alpaydin Ch. 9.1-9.4 and 14.1-14.3, 14.6, Weka Explorer Guide (v. 3.4.12)	Homework 2 assigned Due January 24
1/16	Deadline to add classes
1/19	Support Vector Machines, Evaluation 2 Lecture 3 PPT (1 MB) Lecture 3 PDF (8 MB) Watch the recorded lecture Watch just the .wmv - Normal distribution applet - Student's t distribution applet - Confidence Intervals applet - SVM Tutorial (PDF) by Andrew Moore - SVM applet	Alpaydin Ch. 10.1-10.4, 10.6, 10.9, 14.4, 14.5, 14.7, 14.9 Reading Questions	Project proposal due
1/26	Neural Networks Lecture 4 PPT (2 MB) Lecture 4 PDF (7 MB) - Backpropagation derivation (PDF, 69 KB) - Just the slide on the EO-1 spacecraft and its SVM currently orbiting the Earth (PDF, 500 K) Watch the recorded lecture Watch just the .wmv - Perceptron demo - Digit recognition demo - Ball balancing demo	Alpaydin Ch. 11.1-11.8 Reading Questions	Homework 3 assigned Due February 7
2/2	Midterm Exam, Probability Review, Bayesian Learning Lecture 5 PPT (660 KB) Lecture 5 PDF (4.5 MB) Watch the recorded lecture Watch just the .wmv - Midterm Solution	Alpaydin Appendix A and Ch. 3.1, 3.2, 3.7, 3.9	---
2/9	Parametric Methods Lecture 6 PPT (819 KB) Lecture 6 PDF (5.5 MB) Watch the recorded lecture Watch just the .wmv Post-midterm conferences	Alpaydin Ch. 4.1-4.5 Mitchell p. 177-179 (class handout) Reading Questions	Homework 4 assigned Due February 21
2/14	Deadline to drop classes
2/16	Note: class is in E&T A129 Clustering Lecture 7 PPT (3 MB) Lecture 7 PDF (11 MB) (No video due to room change) - K-means applet - EM applet	Alpaydin Ch. 7.1-7.4, 7.8	---
2/23	Reinforcement Learning Lecture 8 PPT (1 MB) Lecture 8 PDF (9 MB) Watch the recorded lecture Watch just the .wmv	Alpaydin Ch. 16.1-16.5 Reading Questions	---
3/1	Ensemble Learning Lecture 9 PPT (540 KB) Lecture 9 PDF (4 MB) Watch the recorded lecture Watch just the .wmv - AdaBoost applet	Alpaydin Ch. 15.1-15.5 Reading Questions	Homework 5 assigned Due March 13
3/8	Review, Project Presentations Watch the recorded lecture Watch just the .wmv	---	Final Project due
3/15	No final exam		Homework 5 due