Previous: W3, Next: W6
📗 Math homework: M8
📗 Programming homework: P4
📗 Tuesday to Friday lectures: 12:30 to 1:45, 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
Lecture 11: Slides.
Lecture 12: Slides. (delayed to Week 6)
📗 Videos
Lecture 11 Part 1: Link
Lecture 11 Part 2: Link
Lecture 11 Part 3: Link
Lecture 12 Part 1: Link
Lecture 12 Part 2: Link
Lecture 12 Part 3: Link
📗 Note
The video going through P4 grading: Link.
The total distortion sometimes are defined as the sum of squared distances for Euclidean distances: that is the one I used for the gradient descent step derivation.
Lecture 13 will be uploaded after the final exam. There will be no Lecture 14 (Midterm Review).
Caption: hearing "quiz question" during the lectures.
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
Image Segmentation: Link 1, Link 2
K Means Clustering: Link
K Gaussian Mixture: Link
Tree of Life: Link 1, Link 2
Generative Adversarial Net: Link
Principal Component: Link 1, Link 2
Eigen Face: Link 1, Link 2
t-distributed Stochastic Neighbor Embedding: Link
Swiss Roll: Link
tSNE Demo: Link
PCA Proofs from Professor Jerry Zhu's 540 notes: PDF File
📗 YouTube videos from 2019
How to compute value function given policy? Link
How to compute optimal value function? Link
What is the relationship between Naive Bayes and Logistic Regression? Link
What is the relationship between K Means and Gradient Descent? Link
Why is PCA solving eigenvalues and eigenvectors? Part 1, Part 2, Part 3
How to update distance table for hierarchical clustering? Link
How to update cluster centers for K-means clustering? Link
How to compute projection? Link
How to compute new features based on PCA? Link
# Summary
📗 Examples and quizzes: E15 and E16📗 Math homework: M8
📗 Programming homework: P4
📗 Tuesday to Friday lectures: 12:30 to 1:45, 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
📗 SlidesLecture 11: Slides.
Lecture 12: Slides. (delayed to Week 6)
📗 Videos
Lecture 11 Part 1: Link
Lecture 11 Part 2: Link
Lecture 11 Part 3: Link
Lecture 12 Part 1: Link
Lecture 12 Part 2: Link
Lecture 12 Part 3: Link
📗 Note
The video going through P4 grading: Link.
The total distortion sometimes are defined as the sum of squared distances for Euclidean distances: that is the one I used for the gradient descent step derivation.
Lecture 13 will be uploaded after the final exam. There will be no Lecture 14 (Midterm Review).
Caption: hearing "quiz question" during the lectures.
# Other Materials
📗 Relevant websitesRandom 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
Image Segmentation: Link 1, Link 2
K Means Clustering: Link
K Gaussian Mixture: Link
Tree of Life: Link 1, Link 2
Generative Adversarial Net: Link
Principal Component: Link 1, Link 2
Eigen Face: Link 1, Link 2
t-distributed Stochastic Neighbor Embedding: Link
Swiss Roll: Link
tSNE Demo: Link
PCA Proofs from Professor Jerry Zhu's 540 notes: PDF File
📗 YouTube videos from 2019
How to compute value function given policy? Link
How to compute optimal value function? Link
What is the relationship between Naive Bayes and Logistic Regression? Link
What is the relationship between K Means and Gradient Descent? Link
Why is PCA solving eigenvalues and eigenvectors? Part 1, Part 2, Part 3
How to update distance table for hierarchical clustering? Link
How to update cluster centers for K-means clustering? Link
How to compute projection? Link
How to compute new features based on PCA? Link
Last Updated: November 09, 2021 at 12:29 AM