DSC 140A – Probabilistic Modeling and Machine Learning
This Week
Gradient Descent
Discussion 2
past weeks
Week 1
Introduction
Welcome to DSC 140A!
Here is how to get started:
- Read the syllabus.
- Join our
Campuswire message board
and
Gradescope
with the email invitations you received earlier this week. If
you didn't receive emails, you can use the access code
7229
for Campuswire and the access codeDKVPD2
for Gradescope. - Mark the following important dates/times:
- The first lectures are on
Tuesday, January 07
at
- 11:00 AM in CENTR 212.
- 3:30 PM in CENTR 113.
- The first discussions are:
- Friday, January 10 5:00 PM in CENTR 216.
- Monday, January 13 7:00 PM in CENTR 212.
- This quarter, the exams will be on:
- Midterm 01: Thursday, February 06
- Midterm 02: Thursday, March 06
- Redemption Exams: Saturday, March 15
- Note that the midterms will be held during the regular lecture times (despite what is shown in the official class schedule).
- The first lectures are on
Tuesday, January 07
at
- Try the math self-check below to brush up on the background math.
See you in lecture!
Math Self-Check
DSC 140A builds on a lot of previous math courses. To help you brush up, we've put together an (optional) self-check, consisting of a few short problems that use some of the math facts that you may have forgotten.
We recommend following the instructions at the top of the worksheet. Namely, try the problems first, then check your answers. If you get a problem wrong, find the relevant part of the slides to review the concept.
The math check is optional and will not be turned in.
Lecture 2 — ERM and Least Squares
future weeks
Week 3
Linear Classification
Week 4
SVMs
Week 5
Regularization
Midterm 01 on Thursday, Feb 06
Week 6
Kernels & Probabilistic Models
Week 7
Density Estimation
Week 8
Naive Bayes
Week 9
Regression Revisited
Midterm 02 on Thursday, Mar 06
Week 10
Decision Trees
Redemption Exams on Saturday, Mar 15