DSC 140A – Probabilistic Modeling and Machine Learning

This Week

Linear Classification

Lecture 5 — Convexity

Lecture 6 — Linear Classifiers

Lab 3

Due Sunday, Apr 21 at 23:59 PM

Homework 3

Due Wednesday, Apr 24 at 23:59 PM

Discussion 3

past weeks

Week 2

Gradient Descent

Lecture 3 — Gradient Descent

Lecture 4 — SGD and Subgradients

Lab 2

Was due Sunday, Apr 14 at 23:59 PM

Homework 2

Was due Wednesday, Apr 17 at 23:59 PM

Discussion 2

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 5482 for Campuswire and the access code VBNVWZ for Gradescope.
  • The first lecture is on Tuesday, April 02 at 12:30 PM in MANDE B-202.
  • The first discussion (which is a math review) is on Monday, April 01 at 2:00 PM in MANDE B-202.

See you in lecture!

Lecture 1 — Introduction: Nearest Neighbors

Lecture 2 — ERM and Least Squares

Lab 1

Was due Sunday, Apr 07 at 23:59 PM

Homework 1

Was due Wednesday, Apr 10 at 23:59 PM

Discussion 1

future weeks

Week 4

Regularization

Week 5

Kernels

Midterm 01 on Thursday, May 02

Week 6

Probabilistic Models

Week 7

Parametric Density Estimation

Week 8

Naive Bayes

Week 9

Regression Revisited

Midterm 02 on Thursday, May 30

Week 10

Decision Trees