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Lectures

Date	Lecture	References
Aug 29	Course overview	ISLR† Ch 1 Course overview slides
Aug 31, Sep 6	Supervised learning	ISLR Ch 2 Supervised learning slides Bias-variance decomposition derivation
Sep 12, 14	Linear regression	ISLR Ch 3 Linear regression slides
Sep 19, 21	Linear classification	ISLR Ch 4 Classification slides Logistic regression cost function derivation Naive Bayes with the categorical event model
Sep 26, 28	Cross validation, the Bootstrap	ISLR Ch 5 Cross validation and the Bootstrap slides
Oct 3, 5, 10	Linear model selection and regularization	ISLR Ch 6 Model selection slides Mallow’s \(C_p\) derivation
Oct 12, 24, 26	Support vector machines (SVM’s)	ISLR Ch 9 SVM slides SVM problem derivation SVM dual problem derivation
Oct 31, Nov 2	Tree-based methods	ISLR Ch 8 Tree-based methods slides Gradient boosting
Nov 7	Algorithmic fairness (guest lecture by Mikhail Yurochkin)	Fairness in ML slides AI Fairness Playground
Nov 14, 16	clustering	ISLR §12.4 Unsupervised learning slides Clustering breast cancer subtypes paper
Nov 21, 28	Fitting Gaussian mixture models Expectation-Maximization (EM) algorithm	Gaussian mixture model notes EM algorithm notes
Nov 30, Dec 5	Principal components analysis (PCA)	ISLR §12.2 Unsupervised learning slides
Dec 7	When is automated decision making legitimate?

†ISLR refers to the textbook Introduction to Statistical Learning with Applications in R.

Labs

Date	Lab	References
Aug 30	Probability review	Probability Theory Review and Reference Probability review slides 1 Probability review slides 3
Sep 6	Linear algebra review	Linear Algebra Review and Reference Linear algebra review slides 2
Sep 13	Intro to R	ISLR §2.3 Introduction to R lab
Sep 20	Linear regression lab	ISLR §3.6 Linear regression lab
Sep 27	Classification lab	ISLR §4.7 Classification lab
Oct 4	Cross-validation and the Bootstrap lab	ISLR §5.3 Cross validation and the Bootstrap lab
Oct 11	Linear models selection and regularization lab	ISLR §6.5 Model selection lab
Oct 25	Support vector machines lab	ISLR §9.6 Support vector machines lab
Nov 1	Moving beyond linearity	ISLR Ch 7 Moving beyond linearity slides
Nov 8, 15	Midterm review + solutions
Nov 22	Tree-based methods lab	ISLR §8.3 Decision trees lab
Nov 29	Clustering lab	ISLR §12.5.3–4 Clustering lab
Dec 6	PCA lab	ISLR §12.5.1–2 PCA lab