Announcements and Updates
Schedule
Introduction
So you think you can count?
Discrete Probability
Conditional Probability
Section 2
(Thurs, Jan 14)
Probability problems
Conditional Probability
Bayes Theorem
Independence
Intro to Random Variables
Section 3
(Thurs, Jan 21)
Naive Bayes Classifier
Variance
Independence of RVs
Section 4
(Thurs, Jan 28)
Discrete Random Variables
Continous RV Basics
Zoo of Continuous RVs
Exponential and Normal RVs
Normal Distribution
Central Limit Theorem
Section 6
(Thurs, Feb 11)
Continous RVs
No Lecture: President's Day
Application: Distinct Elements
Section 7
(Thurs, Feb 18)
Central Limit Theorem
Markov's Inequality
Tail Bounds
Section 8
(Thurs, Feb 25)
Tail Bounds
MLE
slides
slides
7.1-7.2
cc
Chapter 7.2 has a really helpful walkthrough of an MLE computation with a Poisson.
Application: Markov Chains
Section 10
(Thurs, Mar 11)
Review
Note that content for future lectures is subject to change.
This course website heavily follows the example of the website of CSE373 2019 Spring.