# Summary

📗 Examples and quizzes: E7
📗 Programming homework: P6
📗 Midterm page: Next: W8
📗 Monday review session: 5:30 to 8:30, Guest Link
📗 Section 1 review sessions: 12:30 to 1:45 on June 25 and June 26, Guest Link
📗 Tuesday programming office hours: 5:00 to 6:00, Java Guest Link, Python Guest Link
📗 Wednesday math homework office hours: 5:00 to 6:00, Guest Link
📗 Thursday math homework office hours: 5:00 to 6:00, Guest Link
📗 Friday office hours for other things: 5:00 to 6:00, Guest Link

# Lectures

Review Session notes on E7

📗 Videos
M2Q5: Link
M3Q6: Link
M4Q3: Link
M4Q6: Link
M4Q8: Link
M5Q8: Link
M6Q1: Link
M6Q4: Link
M7Q1: Link
M7Q4: Link
HMM: Link

Other Midterm Questions
Q2 (KNN Decision Boundary Question): Link
Q3 (KNN Leave-One-Out Question): Link
Q4 (CNN Count Weights Question): Link
Q5 (Naive Bayes Count CPTs Question): Link
Q7 (Please do NOT forget to submit your homework on Canvas! Question): Link

📗 Slides
Lecture 13: Slides. (not on midterm)
Lecture 14: Slides. (not on midterm)

Lecture 13 and 14 videos will be posted after midterm.


Caption: hearing "quiz question" during the lectures.

# Other Materials

📗 Relevant websites
Random Integer: Link
Multi Armed Bandit (don't play this): Link
Autonomous driving: Link
Stochastic growth model: Link
Q Learning: Link
Deep reinforcement learning: Link
Learning games: Link

📗 YouTube videos from 2019
(Not related to the midterm)
How to compute value function given policy? Link
How to compute optimal value function? Link