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DateLecture TopicsDeliverablesNotes
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Week 1Lecture 13/28/2022IntroductionSlides
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Lecture 23/30/2022Supervised learning setup. LMS.Draft, Template, Notes; Section 1 of Main Notes
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TA Lecture 14/1/2022Linear Algebra ReviewNotes; Slides; Annotated Slides
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Week 2Lecture 34/4/2022Weighted Least Squares. Logistic regression. Newton's MethodDraft, Template, Notes; Section 2 of Main Notes
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Lecture 44/6/2022Exponential family. Generalized Linear Models.Draft; Section 3 of Main Notes
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4/6/2022
Problem Set 0 (Due at 11:59 pm PT - Ungraded)
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TA Lecture 24/8/2022Probability ReviewNotes; Slides
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Week 3Lecture 54/11/2022Gaussian discriminant analysis. Naive Bayes. Section 4.1 of Main Notes
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Lecture 64/13/2022Naive Bayes, Laplace Smoothing.Section 4.2 of Main Notes
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4/15/2022Final Project Proposal (Due at 11:59 pm PT)
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TA Lecture 34/15/2022Python/NumpySlides; Materials
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Week 4Lecture 74/18/2022Kernels Section 5 of Main Notes
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Lecture 84/20/2022Neural Networks 1
Draft, Template, Notes; Section 7.1 & 7.2 of Main Notes
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4/20/2022Problem Set 1 (Due at 11:59 pm PT)
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TA Lecture 44/22/2022Evaluation MetricsSlides
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Week 5Lecture 94/25/2022Neural Networks 2 (backprop)Section 7.3 of Main Notes
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Lecture 104/27/2022Bias - Variance. Regularization. Section 8 of Main Notes
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TA Lecture 54/29/2022Deep Learning (Conv Nets)Slides
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Week 6Lecture 115/2/2022Feature / Model selection. ML Advice.
Section 9 of Main Notes, slides (only subset of first 40 pages are covered in the lecture)
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Lecture 125/4/2022K-Means. GMM (non EM). Expectation Maximization.Draft; Section 10, 11.1, 11.2 of Main Notes
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5/4/2022Problem Set 2 (Due at 11:59 pm PT)
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5/6/2022Final Project Milestone (Due at 11:59 pm PT)
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TA Lecture 65/6/2022Midterm ReviewSlides
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Week 7Lecture 135/9/2022GMM (EM)Draft; Section 11.2-11.4 of Main Notes
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Lecture 145/11/2022Factor Analysis/PCADraft; Section 12&13 of Main Notes
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5/12/2022
MIDTERM (CEMEX Auditorium, 6 pm - 9 pm PT)
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No TA Lecture (Midterm Week)
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Week 8Lecture 155/16/2022PCA/ICADraft; Draft; Section 13 of Main Notes
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Lecture 165/18/2022Self-supervised learningDraft; Section 14 of Main Notes
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5/18/2022Problem Set 3 (Due at 11:59 pm PT)
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5/20/2022No TA Lecture
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Week 9Lecture 175/23/2022basic concepts in RL,value iteration, policy iterationDraft; Section 15 of Main Notes
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Lecture 185/25/2022Societal impact of ML(Guest lecture by Prof. James Zou)
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TA Lecture 75/27/2022Decision Trees + Boosting
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Week 10Lecture 195/30/2022MEMORIAL DAY. NO LECTURE.
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Lecture 206/1/2022Model-based RL, value function approximator
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TA Lecture 86/3/2022Learning Theory
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6/1/2022Problem Set 4 (Due at 11:59 pm PT)
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6/6/2022Final Project Report (Due at 11:59 pm PT)
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6/7/2022
Final Project Poster Session (3:30 pm - 6:30 pm PT)
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