CS/CNS/EE 156a: Learning Systems (Spring 2012)

Class Time: Tuesday and Thursday 10:30am--12:00 pm in Cahill's Hameetman Auditorium.

Please send all questions to: ta.cs156(at)work.caltech.edu

Announcements

[May 15]

HW4 is out. See below.
[May 10]

Support Vector Machines handout is available below.
[May 8]

HW2 is also ready for pick up outside of Moore 150. Sets are ordered alphabetically by last name in two piles. HW1 is still available for pick up in the same place.
[May 1]

Neural Networks handout is available below.
[Apr 6]

You can find the recorded lectures and their slides on this page. Draft slides for new lectures will be available here, usually on the morning of each lecture.
[Mar 22]

This is the only site for the course for Caltech students. Your handouts and homeworks will be posted here.

Synopsis

CS/CNS/EE 156 a. Learning Systems. 9 units (3-0-6); third term. Prerequisites: Ma 2 and CS 2, or equivalent. Introduction to the theory, algorithms, and applications of automated learning. How much information is needed to learn a task, how much computation is involved, and how it can be accomplished. Special emphasis will be given to unifying the different approaches to the subject coming from statistics, function approximation, optimization, pattern recognition, and neural networks.

Textbook

The recommended textbook covers 14 out of the 18 lectures. The book forum will have a discussion board and additional topics later on.

People

Please send all questions to: ta.cs156(at)work.caltech.edu
e-mail Office Hours
Instructor Yaser Abu-Mostafa yaser(at)caltech... Fridays 2:30-4:00 PM (139 Moore)
Head TA Carlos R. Gonzalez crgonzal(at)caltech... 8:00-10:00 PM the night before each homework is due (139 Moore)
TA Daniil Kitchaev dkitch(at)caltech... Wednesdays 4:00-5:00 PM (156 Moore)
TA Tuan Anh Le tle(at)caltech... Mondays 4:00-5:00 PM (156 Moore)
TA Eric Li ericli(at)caltech...
TA Dai Wei wdai(at)caltech... Sundays 8:00-9:00 PM (139 Moore)
TA Ming Fai Wong wongmingfai(at)gmail... Tuesdays 4:00-5:00 PM (255 Moore)
Secretary Lucinda Acosta lucinda(at)caltech... -

Handouts

[Apr 2] Policies (ps, pdf)
[May 1] Neural Networks handout (ps, pdf)
[May 10] SVM and kernel methods handout (pdf)

Homeworks

See the FAQ page for some common questions and clarifications about the homework.

[4/10] Homework #1 (ps, pdf) Due: Tuesday, 4/17/12 in class at 10:30am. Homework Office Hours: Monday, April 16, 2012, 8:00-10:00 PM in room 139 Moore (has its own entrance from the North side of the building). TA in charge: Dai Wei.
[4/24] Homework #2 (ps, pdf) Due: Tuesday, 5/1/12 in class at 10:30am. Homework Office Hours: Monday, April 30, 2012, 8:00-10:00 PM in room 139 Moore (has its own entrance from the North side of the building). TA in charge: Daniil.
[5/3] Homework #3 (ps, pdf) Due: Thursday, 5/10/12 in class at 10:30am. Homework Office Hours: Wednesday, May 9, 2012, 8:00-10:00 PM in room 139 Moore (has its own entrance from the North side of the building). TA in charge: Ming Fai.
[5/15] Homework #4 (ps, pdf) Due: Tuesday, 5/22/12 in class at 10:30am. Homework Office Hours: Monday, May 21, 2012, 8:00-10:00 PM in room 139 Moore (has its own entrance from the North side of the building). TA in charge: Eric. Dataset: in.dta, out.dta
[5/24] Homework #5 (ps, pdf) Due: Thursday, 5/31/12 in class at 10:30am. Homework Office Hours: Wednesday, May 30, 2012, 8:00-10:00 PM in room 139 Moore (has its own entrance from the North side of the building). TA in charge: Anh.
Updated: 5/15/2012