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Schedule

Announcements

Lecture videos are available at this CS445 video recordings site.

January

Week Topic Material Reading Assignments
Week 1:
Jan 16 - Jan 19
Overview. Intro to machine learning. Python. 01 Course Overview
02 Matrices and Plotting
From Python to Numpy, Chapters 1 - 2
Deep Learning, Chapters 1 - 5.1.4
Week 2:
Jan 22 - Jan 26
Fitting linear models to data as a direct matrix calculation, and incrementally using stochastic gradient descent (SGD) 03 Linear Regression
04 Linear Regression Using Stochastic Gradient Descent (SGD)
Week 3:
Jan 29 - Feb 2
Probabilistic Linear Regression. Ridge regression. Data partitioning. The Great A.I. Awakening, by Gideon Lewis-Krause, NYT, Dec 14, 2016. A1 Linear Regression due Tuesday, January 30, 10:00 PM

February

Week Topic Material Reading Assignments
Week 4:
Feb 5 - Feb 9
Regression with fixed nonlinearities. Nonlinear regression with neural networks.
Week 5:
Feb 12 - Feb 16
Lectures on Feb 12th and 14th are canceled. Friday, more neural networks
Week 6:
Feb 19 - Feb 23
Autoencoders. Recurrent neural networks.
Week 7:
Feb 26 - Mar 2
Classification. LDA and QDA. K-Nearest Neighbors.

March

Week Topic Material Reading Assignments
Week 8:
Mar 5 - Mar 9
Classification with Neural Networks
Mar 12 - Mar 16 Spring Break
Week 9:
Mar 19 - Mar 23
Analysis of Trained Networks. Bottleneck Networks. Classifying Hand-Drawn Digits.
Week 10:
Mar 26 - Mar 30
Convolutional Neural Networks

April

Week Topic Material Reading Assignments
Week 11:
Apr 2 - Apr 6
Reinforcement Learning. Games using Tabular Q functions.
Week 12:
Apr 9 - Apr 13
Reinforcement Learning using Neural Networks as Q functions.
Week 13:
Apr 16 - Apr 20
Unsupervised Learning. Dimensionality Reduction. Clustering.
Week 14:
Apr 23 - Apr 27
Support Vector Machines.

May

Week Topic Material Reading Assignments
Week 15:
Apr 30 - May 4
Ensembles. Other topics.
May 7 - May 10 Final Exams
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