Stat 161/261

Introduction to Machine Learning:
 
Mon/Wed/Fri: 10:00-11:00am Spring 2008, Math/Sciences 5203.
 
www.stat.ucla.edu/~yuille/Courses/
 

Course Description

This course gives an accessible introduction to pattern analysis and machine intelligence aimed at advanced undergraduates and graduate students. (It is simpler than the more advanced class Stat 231/CS 276).

Reading Material

Grading Plan: homework assignments (40% ), computer assignments (40%), final exam (20%).

Tentative Schedule.

Lecture

Date

Topics

Reading Materials

Handouts

1

March-31

Introduction to the Machine Learning:
 

Alpaydin: Chp 1.

  Lecture1.pdf

2

April-2

Supervised Learning:
 

Alpaydin: Chp 2.

2.1-2.3

 Lecture2.pdf

3

April-4

Supervised Learning (cont):
 

Alpaydin: Chp 2.

2.4-2.8

 Lecture3.pdf

4

April-7

            
  Bayesian Decision Theory:
  

Alpaydin: Chp 3.

   Lecture4.pdf

5

April-9

Bayesian Decision Theory (Cont)

Alpaydin: Chp 3.

 

     6

April-11

                   
Parametric Methods 
 

Alpaydin: Chp 4

lecture5.pdf

     7

April-14

                   
 Parametric Methods (cont)       
    

Alpaydin: Chp 4

 Lecture6.pdf

8

April-16

                    
 Parametric Methods (cont)       
 

          Alpaydin; Chp 4

Homework Assignment: Alpaydin Chp 2: Qu 8,9, Chp 3: Qu 1,2,4, Chp 4. Qu 2,4,8, Chp 5, Qu 1,5. Due Monday 28/April

9

April-18

    Multivariate Methods        

Alpaydin: Chp 5

lecture7.pdf

10

April-21

 

            NO LECTURE 

 

http://www.ipam.ucla.edu/programs/gss2007/ Click on Schedule of Presentation: Watch Numbers Game part of 12/July lecture by J. Tenenbaum

11

April-23

                Dimension Reduction      

Alpaydin: Chp 6

Lecture8.pdf

12

April-25

 
                  Dimension Reduction      
 

Alpaydin: Chp 6

Lecture9.pdf

13

April-28

 
         Clustering

Alpaydin: Chp 7

Lectune10.pdf

14

April-30

Nonparametric Methods

Alpaydin: Chp 8

lecture11.pdf

15

May-2

 

 

lecture 12.pdf

16

    May-5

 

 

Lecture13.pdf

17

   May-7

              .

 

Lecture14.pdf

18

May-9

.

 

Lectune15.pdf

19

May-12

 

 

lecturer16.pdf

20

May-14

 

 

Lecture17.pdf

    21

May-16

 

 

 

22