Introduction
So you think you can count?
More Counting
No More Counting Please
Discrete Probability
Conditional Probability
Probability problems
Probability via coding
Conditional Probability
Bayes Theorem
Independence
Intro to Random Variables
Section 3
(Thurs, Oct 15)
Naive Bayes Classifier
Variance
Independence of RVs
Application: Bloom Filters
Section 4
(Thurs, Oct 22)
Discrete Random Variables
Sunday Workshop
(Sun, Oct 25)
Pset4 Help
Continous RV Basics
Zoo of Continuous RVs
Exponential and Normal RVs
Application: Auction Theory
Application: Auction Theory (cont.)
Application: Distinct Elements
Section 7
(Thurs, Nov 12)
Review
Joint Distributions (cont.)
Law of Total Expectation
Section 8
(Thurs, Nov 19)
Joint Distributions
Law of Total Expectation
Continous Law of Total Probability
Application: Heavy Hitters
Markov's Inequality
Heavy Hitters
Section 9
(Thurs, Nov 26)
Maximum Likelihood Estimation
Section 10
(Thurs, Dec 3)
MLE, Tail Bounds, Markov Chains Intro
Markov Chains Recap
Pagerank
Section 11
(Thurs, Dec 10)
TA's Choice
Note that content for future lectures is subject to change.
This course website heavily follows the example of the website of CSE373 2019 Spring.