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Schedule

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Week	Topic	Material	Reading	Assignments
Week 1: Jan 19 - Jan 22	Overview. Intro to machine learning. Python.	01 Course Overview, 02 Matrices and Plotting,	Text: Sections 1.1-1.5. Section 1 of Scipy Lecture Notes
Week 2: Jan 25 - Jan 29	Probability distributions and regression.	03 Linear Regression, 04 Gaussian Distributions	Sections 4.1-4.2, 4.6-4.9, 5.8-5.9	A1 Linear Regression due Thursday, January 28th at 10:00 PM. Download and unzip A1 Grader.zip

Week	Topic	Reading
Week 3: Feb 1 - Feb 5	Nonlinear regression with neural networks.	11.1-11.5, 11.7.1, 11.7.4, 11.8.1-11.8.2
Week 4: Feb 8 - Feb 12	Recurrent neural networks.	11.9, 11.12, 11.14
Week 5: Feb 15 - Feb 19	Classification, generative models.	4.3-4.5, 5.5-5.7
Week 6: Feb 22 - Feb 26	Classification, discriminant models. Ranking.	10.1-10.4, 10.5-10.10

Week	Topic	Reading
Week 7: Feb 29 - Mar 5	Classification with neural networks.	11.7.2
Week 8: Mar 7 - Mar 11	Convolutional, bottleneck, and deep networks.	11.8.3, 11.11, 11.13
Mar 14 - Mar 18	Spring Break!
Week 9: Mar 21 - Mar 25	Nonparametric methods.	8.1-8.10
Week 10: Mar 28 - Apr 1	Dimensionality reduction.	6.1-6.8, 6.10-6.13

Week	Topic	Reading
Week 11: Apr 4 - Apr 8	Clustering	7.1-7.10
Week 12: Apr 11 - Apr 15	Support vector machines.	13.1-13.12
Week 13: Apr 18 - Apr 22	Reinforcement learning.	18.1-18.9
Week 14: Apr 25 - Apr 29	Multiple models.	17.1-17.12

Week	Topic	Material	Reading	Assignments
Week 15: May 2 - May 6

CS440: Introduction to Artificial Intelligence