DSC 140A – Probabilistic Modeling and Machine Learning
This Week
Conclusion
Redemption Exams on Saturday, Mar 18
Discussion 7
Week 9
Decision Trees
Midterm 02 on Thursday, Mar 09
Week 8
Naive Bayes
Week 7
Parametric Density Estimation
Discussion 5
Week 6
Probabilistic Models
Lecture 10 — Bayes Decision Theory
Discussion 4
Week 5
Neural Networks
Midterm 01 on Thursday, Feb 09
Week 4
Regularization and Kernels
Discussion 3
Week 3
SVMs
Lecture 5 — Stochastic Gradient Descent and Convexity
Discussion 2
Week 2
Linear Models
Lecture 3 — Least Squares Regression and Perceptrons
Discussion 1
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 access code
6ZE5Z6for Gradescope and code0691for Campuswire. - The first lectures are on
Tuesday, January 10
at the following times and places:
- Prof. Justin Eldridge: 3:30 PM in PCYNH 122.
- Prof. Mikio Aoi: 12:30 PM in CENTR 216.
- The first discussions are at the following times and places
- Prof. Justin Eldridge: Thursday, January 19 at 6:30 PM in CSB 002.
- Prof. Mikio Aoi: Wednesday, January 18 at 1:00 PM in CENTR 214.
See you in lecture!