CSCI 374 Schedule

Week	Date	Topic	Reading	Assignment
1	Aug 28	Hello, CSCI374!		Questionnaire Due Sept 6
	Aug 30	Introduction to Machine Learning and Data Mining	Ch. 1
	Sept 1	Introduction to Machine Learning and Data Mining	Ch. 1
2	Sept 4	No class (Labor Day)
	Sept 6	Background (Supervised Learning)	Ch. 2
	Sept 8	k-Nearest Neighbor (Similarity Learning)	Chp 8.2.3
3	Sept 11	Evaluating Classifiers (Supervised Learning)	Ch. 19.4, 19.6-19.9	HW1: kNN Due Sept 18
	Sept 13	Clustering (Similarity Learning)	Ch. 7.1-7.4, 7.8-7.9
	Sept 15	Recommendation Systems (Similarity Learning)
4	Sept 18	Recommendation Systems (Similarity Learning)
	Sept 20	Bottlenecks and Learning		HW2: Collaborative Filtering Due Sept 27 28
	Sept 22	ID3 (Decision Trees)	Ch. 9.1-9.2
5	Sept 25	ID3 (Decision Trees)	Ch. 9.3-9.4
	Sept 27	C4.5 (Decision Trees)
	Sept 29	C4.5 (Decision Trees)		HW3: ID3 Due Oct 6
6	Oct 2	C4.5 (Decision Trees)
	Oct 4	CART (Decision Trees)
	Oct 6	Background to Probability (Bayesian Learning)	3.1
7	Oct 9	Bayes Rule and Naive Bayes (Bayesian Learning)	3.2, 14.3	HW4: C4.5 Due Oct 2325
	Oct 11	Naive Bayes (Bayesian Learning)
	Oct 13	HW4 Workshop Day
Fall Break
8	Oct 23	C4.5 Review
	Oct 25	Text Classification and Naive Bayes Exercise
	Oct 27	Association Rule Mining	3.5	HW5: Naive Bayes Due Nov 1
9	Oct 30	Linear Regression	4.6
	Nov 1	Gradient Descent	10.6
	Nov 3	Logistic Regression (Neurons)
10	Nov 6	Neural Networks
	Nov 8	Backpropagation
	Nov 10	Tensorflow		HW6: Neural Networks Due Nov 21
11	Nov 13	Tensorflow and Grid Search
	Nov 15	k-fold Cross Validation, Supercomputers, and GPUs
	Nov 17	Group Projects
12	Nov 20	Convolutional Neural Networks	See slides for links
	Nov 22	Deep Reinforcement Learning	See slides for links
	Nov 24	No Class (Thanksgiving)
13	Nov 27	Genetic Algorithms, Autoencoders, Dimensionality Reduction
	Nov 29	Sequential Learning
	Dec 1	Recurrent Neural Networks
14	Dec 4	Final Presentation and Paper Discussion
	Dec 6	Group Project Demos
	Dec 8	Group Project Demos