CSCI 374 Schedule

Please note that this schedule is tenative and subject to change as the semester goes on. However, we will try to follow it as closely as possible.

Week	Date	Topic	Reading	Assignment
1	Sept 3	Hello, CSCI374!		Questionnaire Due Sept 10
1	Sept 5	Introduction to Machine Learning and Data Mining	ESL: Chp 1 ISLR: Chp 1 DL: 5.1 ML: Chp 1	Questionnaire Due Sept 10
2	Sept 10	Supervised Learning and k-Nearest Neighbors	ESL: 2.1-2.3 ISLR: 2.1, 4.1, 4.6.5 ML: 8.2 Paper	HW1: k-Nearest Neighbors Due Sept 19
2	Sept 12	Evaluating Performance	Handout ESL: 7.5 ISLR: 2.2.3 ML: Chp 5
3	Sept 17	Linear, Logistic, and Multinomial Regression	ESL: 3.1-3.2, 4.4 ISLR: 3.1, 4.3 DL: 5.1.4
3	Sept 19	Stochastic Gradient Descent	ESL: 4.5.1 DL: 5.9 ML: 4.4	HW2: Logistic Regression Due Oct 1
4	Sept 24	Neural Networks
4	Sept 26	Neural Networks
5	Oct 1	Neural Networks		HW3: Neural Networks Due Oct 13
5	Oct 3	Linear Algebra, Tensorflow, and GPUs
6	Oct 8	Convolutional Neural Networks
6	Oct 10	HW3 Workshop Day
7	Oct 15	Deep Reinforcement Learning		Final Project Proposals Due Oct 1830
7	Oct 17	Discussion Day #1: Real-World Machine Learning Tasks	Readings	Final Project Proposals Due Oct 1830
Fall Break
8	Oct 29	Decision Trees (ID3)		HW4: Decision Trees Due Nov 7
8	Oct 31	Decision Trees (CART)
9	Nov 5	Random Forests
9	Nov 7	Probability
10	Nov 12	Naive Bayes		HW5: Naive Bayes Due Nov 19
10	Nov 14	Association Rule Mining
11	Nov 19	Clustering
11	Nov 21	Sequential Learning and Markov Chains		HW6: Experiments Due Nov 26
12	Nov 26	Recurrent Neural Networks		HW6: Experiments Due Nov 26
12	Nov 28	No Class (Thanksgiving)		Final Project Checkin Due Dec 3
13	Dec 3	Feature Selection	TBD	Final Project Checkin Due Dec 3
13	Dec 5	Discussion Day #2	Readings
14	Dec 10	Final Project Presentations
14	Dec 12	Final Project Presentations
Final Project Due Friday December 20 at 9:00 PM