# DSC 140A – Probabilistic Modeling and Machine Learning

# This Week

## Naive Bayes

past weeks

# Week 7

## Density Estimation

# Week 6

## Kernels & Probabilistic Models

### Lecture 10 — Kernels

### Lecture 11 — Bayes Decision Theory

# Week 5

## Regularization

Midterm 01 on Thursday, May 02

# Week 4

## SVMs

# Week 3

## Linear Classification

# Week 2

## Gradient Descent

# 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!

### Discussion 1

future weeks

# Week 9

## Regression Revisited

Midterm 02 on Thursday, May 30