Tentative Class Schedule

CSE 6363.002
Machine Learning
Tentative Lecture and Assignment Schedule
Fall 2015 - TTh 5:30pm - 6:50pm
Class Date Readings Lecture Topics Assignments
1 08/27 Slides Course Details and Overview  
2 09/01 Slides Background: Probability, Information, utility  
3 09/03 Slides A Learning Task  
4 09/8 Slides (v2) Supervised Learning  
5 09/10   Supervised Learning  
6 09/15 Slides Regression  
7 09/17   Regression  
8 09/22 Slides Regression and Classification  
9 09/24   Gaussian Discriminant Analysis Homework 1 due
10 09/29 Slides Neural Networks  
11 10/01      
12 10/06 Slides Support Vector Machines  
13 10/08 Slides Decision Trees Project 1 due (Ploynomial Fit Data, Image Data)
14 10/13 Slides Ensemble Methods  
15 10/15 Slides Unsupervised Learning  
16 10/20   Clustering  
17 10/22 Slides Unsupervised Feature Learning  
18 10/27 Slides Regularization and Complexity  
19 10/29 Slides Semi-Supervise Learning  
20 11/03 Slides Graphical Models  
21 11/05   Graphical Models  
22 11/10   Structure Learning  
23 11/12 Slides (v2) Introduction to Reinforcement Learning Homework/Project 2 due (Mushroom Training Data, Mushroom Test Data)
24 11/17   MDPs and Reinforcement Learning  
25 11/19   Reinforcement Learning  
26 11/24   Student Presentations  
  11/26   Thanksgiving Break - No Class  
27 12/01   Student Presentations  
28 12/03   Student Presentations  
29 12/08   Student Presentations Homework/Project 3 due
30 TBD   Final Project Presentations



Manfred Huber
2015-08-27