CS 181
General
Syllabus
Calendar
Staff
Office Hours
Resources
Schedule
Lecture Recaps
Lecture 1 (Nonparametric Regression)
Lecture 2 (Linear Regression)
Lecture 3 (Probabilistic Regression)
Lecture 4 (Linear Classification)
Lecture 5 (Probabilistic Classification)
Lecture 6 (Model Selection - Frequentist)
Lecture 7 (Model Selection - Bayesian)
Lecture 8 (Neural Networks 1)
Lecture 9 (Neural Networks 2)
Lecture 10 (Support Vector Machine 1)
Lecture 11 (Support Vector Machine 2)
Lecture 12 (Ethics in ML)
Lecture 13 (Clustering)
Lecture 14 (Mixture Models)
Lecture 15 (Nonprobabilistic Embeddings)
Lecture 16 (Topic Models)
Lecture 17 (Graphical Models)
Lecture 18 (Inference in Bayes Nets)
Lecture 19 (Hidden Markov Models)
Lecture 20 (Markov Decision Processes)
Lecture 21 (Reinforcement Learning 1)
Lecture 22 (Reinforcement Learning 2)
Lecture 23 (Final Lecture - Interpretability)
Sections
HW
Zoom
Piazza
Office Hours
Finale's OH: Wed 3-4:30 pm ET
Mon 6-8 pm ET: Jason Huang
Tue 8-10 pm ET: Bill Zhang
Wed 3-5 pm ET: Michael Wornow
Wed 6-8 pm ET: Jeffrey He
Wed 8-10 pm ET: Jambay Kinley
Thu 1-3 pm ET: Jenny Huang
Thu 7-9 pm ET: Jason Ren
Thu 9-11 pm ET: Alex Chin
Sat 10 am-12 pm ET: Nari Johnson
Sat 5-7 pm ET: Catherine Zeng