EECS 738: Machine Learning

Schedule and Lecture Notes
http://ittc.ku.edu/~jhuan/EECS738_F15






Green cells denote no class                                                                                     
Class schedule is tentative and is subject to change according to class progress
Slides that appear before class meeting might have errors and the errors will be fixed after class meeting

Week Date Topic Slides Assigned
Due
1 Aug 25-29
Introduction to Machine Learning



2
Sept 1 - 5
Data, Model, Probability



3
Sept 8 - 12
Laws of Large Number



4
Sept 15 - 19
Laws of Large Number (cont.)


5
Sept 22 - 26
MLE, Bayesian


6
Sept 29 - Oct 3
Linear Regression


7
Oct 6 - 10
Ridge Regression, Kernel Regression


8
Oct 13 - 17
Linear Classification


9
Oct 20 - 24
Support Vector Machines


10
Oct 27 - Oct 31
Support Vector Machines (cont.)


11
Nov 3 - Nov 7
Bayesian Linear Regression


12
Nov 10 - Nov 14
Gaussian Process


13
Nov 17 - Nov 21
Ensemble Learning


14
Nov 24 - Nov 28
TBA



15
Dec 1 - Dec 5
TBA



16
Dec 8 - Dec 12
TBA