Schedule

	Date	Reading	Topic	Assignments
1	Aug 21		Intro and Motivation	Read syllabus/schedule
2	Aug 23	1, 2.1, 3.1-3.3	Perceptron and Delta Rule	Install toolkit (before class)
3	Aug 28	3.4	Perceptron and Delta Rule	Perceptron HW (before class)
4	Aug 30	2.2 Perceptron Lab description	Data, Testing, and ML Toolkit	Quadric Machine HW (before class)
5	Sep 4	3.5 Logistic Regression	Linear Regression and Logistic Regression
6	Sep 6	2.4-2.5 Group Project proposal description	Inductive Bias	Linear Regression HW (before class) Logistic Regression HW (before class)
7	Sep 11	4.1-4.3	Backpropagation	Perceptron Lab (due by 11 pm)
8	Sep 13	4.4-4.5 Experiment with TensorFlow playground Backpropagation Lab description	Backpropagation	Backpropagation HW (before class)
9	Sep 18	4.6	Backpropagation
10	Sep 20	2.2	Comparing Classifiers, Grad School	Group Project Proposal
11	Sep 25	6.1 Optional: Data Preparation	Feature Selection and Reduction
12	Sep 27	6.2,6.5-6.6 Optional: 6.3-6.4	Features (cont), PCA	Group Project Voting
13	Oct 2	12.1-12.2	Decision Trees	Backpropagation Lab (due by 11 pm) Begin gathering data for group project
14	Oct 4	12.3-12.4 Decision Tree Lab description	Decision Trees	Decision Tree HW (before class) Data gathering report
15	Oct 9		Midterm
16	Oct 11	5.1-5.2,7-7.2.1 Nearest Neighbor Lab description	Nearest Neighbor
17	Oct 16	2.3	Bayesian Learning	k-Nearest Neighbor HW (before class)
18	Oct 18	7.2.2-7.2.3 Optional: 5.3	Radial Basis Function Networks, Data Mining	Naïve Bayes HW (before class)
19	Oct 23	13	Ensembles	Decision Tree Lab (due by 11 pm)
20	Oct 25	14.1 Section 5.4 of this reading	Clustering and Unsupervised Learning	Group Project Progress Report
21	Oct 30	14.2-14.3 Clustering Lab description	Clustering and Unsupervised Learning	HAC HW (before class)
22	Nov 1	10.1-10.4	Genetic Algorithms	Nearest Neighbor Lab (due by 11 pm) k-Means HW (before class)
23	Nov 6	11.1-11.3	Markov Models
24	Nov 8	16.3	Hidden Markov Models
25	Nov 13	11.4-11.7	Reinforcement Learning and Q-Learning	Clustering Lab (due by 11 pm)
26	Nov 15		Group Project Time	RL HW (before class)
27	Nov 27	8.1-8.3	SVMs
28	Nov 29		Final Exam Review	Group Project Report (due by 11 pm)
29	Dec 4		Group Project Oral Presentations: Does Our Age Define How We Speak? Determining whether a given loan application will default or not Chess Position Evaluation Using Machine Learning to Identify LEGOs
29	Dec 6		Group Project Oral Presentations: Movie Reviews: Good, Bad, or Broken Code An Approach to Reduce Data Dimensionality and Model Potato Virus Y Field Spectrometer Data
30	Dec 14		Final (10:00am)

The schedule is subject to change. The final is Friday, December 14 from 10:00am to 12:00pm in our normal classroom. The final is comprehensive.