CSE 446 - Machine Learning - Winter 2015 Mon, Wed, Fri 9:30-10:20 in |
CSE Home |
Instructor:
Luke Zettlemoyer
(lsz at cs) Office hours: Fri 12:30-1:30, CSE 658 |
TA: Antoine Bosselut
(antoineb at cs) Office hours: Mon and Wed 10:30-11:30, CSE 220 TA: Naozumi Hiranuma (hiranumn at cs) Office hours: Tues 10:30-11:30, CSE 220 and Thur 1:30-2:30, CSE218 |
Week | Dates | Topics & Lecture Notes | Readings |
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1 | Jan 5, 7, 9 | Introduction; Decision Trees | Murphy 1.1-1.4; 16.2 |
2 | Jan 12, 14, 16 | Point Estimation; Linear Regression | Murphy 6.4; 7.1-7.3; 7.5.1 |
3 | Jan 21, 23 | Linear Regression (cont.); Naive Bayes | Murphy 3.5; Murphy 8.1-8.3 |
4 | Jan 26, 28, 30 | Naive Bayes (cont.) Logistic Regression | Murphy 8.1-8.3 |
5 | Feb 2, 4, 6 | Logistic Regression(cont.); Perceptron | Murphy 8.5.0, 8.5.4 |
6 | Feb 9, 11, 13 | Kernels; Support Vector Machines (SVMs) | Murphy 14.5 |
7 | Feb 18, 20 | SVM (cont.) Boosting | Murphy 11.2, 11.4-11.4.2, 16.4 |
8 | Feb 23, 25, 27 | Clustering and EM | Murphy 12.1.0 |
9 | Mar 2, 4, 6 | Dimensionality Reduction; Instance-based Learning | Murphy 12.2 |
10 | Mar 9, 11, 13 | Learning Theory; Neural Networks (NNs) | Murphy 10.1 - 10.2.2 |
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Department of Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX |