Machine Learning, Spring 2021

Schedule is updated dynamically throughout the semester

	DATE	TOPIC	READING	OUT	DUE
1	Tue, Jan 19	Background & probability review	CB Ch 1-2, Murphy Ch2
	Fri, Jan 22	Background & probability review continued		Hw1 out
	Tue, Jan 26	Background & probability review continued
2	Fri, Jan 29	Statistical learning; one-variable linear regression, least squares, regression vs correlation	JW 2.1;3.1 HT 2.1-2.4, 2.6, 3.2-3.2.2
	Tue, Feb 2	Gaussian one-variable regression: maximum likelihood, gradient descent	CB 3.1.1-3.1.2 RW Ch 2, 5.1, 6.3
	Fri, Feb 5	Multi-variable regression: categorical predictors, unequal variance, robust regression	JW 3.2-3.3		Hw1 due
	Tue, Feb 9	Overfitting, bias/variance tradeoff, variable selection, cross-validation	JW 5.1, 6.1, HT 3.3, 7.2-7.3, 7.10, CB 3.2	Hw2 out
	Fri, Feb 12	Regression in high dimensions: curse of dimensionality, regularization	JW 6.1-6.2, HT 3.4.1-3.4.3, CB 3.1.4
	Tue, Feb 16	Regression in high dimensions continued
4	Fri, Feb 19	k-NN, perceptron, logistic regression, multinomial/softmax regression	JW 4.2-4.3, HT 4.2-4.4 CB 2.2, 4.1.7, 4.3
	Tue, Feb 23	Logistic regression continued
	Fri, Feb 26	Exam prep			Hw2 Proj group due
	Tue, Mar 2	Midterm exam
	Fri, Mar 5	Bayes learning, MAP estimation, Naive Bayes	HT 6.6.3, CB 2.3.9; 2.5.2
	Tue, Mar 9	LDA, regularized LDA, diagonal LDA, nearest shrunken centroids	JW 4.4, HT 4.3, 18.2 CB 4.1.1-4.1.6, 4.2
	Fri, Mar 12	No class. Project pitches 03/16, 6pm
	Tue, Mar 16	PCA, k-means, EM algorithm, mixtures of Gaussians	JW 10; HT 14.3, 14.5; CB 9.1-9.2	Hw3 out	Project proposals due 03/17
	Fri, Mar 19	Kernels and kernel density estimation	JW 7.6, HT 6.1-6.3, 6.6, CB 2.5.1
	Tue, Mar 23	Support vector machines	JW 9.1-4, HT 4.5, 12.1-12.3.4, CB 7.1
	Fri, Mar 26	Support vector machines continued
	Tue, Mar 30	Classification/regression trees	JW 8.1-8.2, HT 9.2, 15.1-15.3, CB 1.6	Hw4 out	Hw3 due
	Fri, Apr 2	Bagging, random forest; Boosting, model interpretation	JW 8.2 HT 10.1-10.2
	Tue, Apr 6	Neural networks: representation	HT 11.3, CB 5.1-5.2
	Fri, Apr 9	Neural networks: training	HT 11.4-11.7 CB 5.3-5.5.5
	Tue, Apr 13	Convolutional neural networks Guest lecture by Clara De Paolis Kaluza	CB 5.5.6
	Fri, Apr 16	Exam prep			Hw4 due
	Tue, Apr 20	Final exam
	Fri, Apr 23	Project presentations
	Mon, Apr 26				Project reports due
	Wed, Apr 28				Project reviews due