Hsuan-Tien Lin

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Machine Learning, Fall 2012

Course Description

Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the data observed. This course introduces the basics of learning theories, the design and analysis of learning algorithms, and some applications of machine learning.

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Course Information

Announcements

Class Policy

Course Plan (tentative)

datesyllabustodo/donesuggested reading
9/10,13introductionpolicy explained in class; homework 0.5 announced; homework 1 announcedLFD Sections 1.0, 1.1
9/17,20introductionpros explained in classLFD Sections 1.2, 1.3 (until p.22)
9/24,27introduction/generalizationhomework 1 due; homework e/2 announced; homework 2 announcedLFD Sections 1.3, 2.0, 2.1 (until p.45)
10/1,4generalizationLFD Sections 2.1, 1.4
10/8,11generalization/linear modelhomework 2 due; homework 3 announcedLFD Sections 2.2, 3.0, 3.1, 3.2 (until p.85)
10/15,18linear modelLFD Sections 3.2, 3.3
10/22,25linear model/overfittinghomework 3 due; homework 4 announcedLFD Sections 3.4, 4.0, 4.1
10/29,11/1regularization/validationLFD Sections 4.2, 4.3 (until p.145)
11/5,8validation/principlesgood luck with your other midtermsLFD Sections 4.3, 5.0, 5.1, 5.2, 5.3
11/12,15support vector machineno class on 11/15 because of NTU Birthday; homework 4 due; homework 5 announcedDraft Sections 8.1, 8.4
11/19,22support vector machinefinal project announcedDraft Sections 8.2
11/26,29support vector machinehomework 5 due; homework 6 announcedDraft Sections 8.2, 8.3
12/3,6neural network/data miningclass on 12/3 is TA session; no class on 12/6, because of NIPS conference; homework 6.5 announcedUseful Info about Final Project; Draft Sections 7.1, 7.2
12/10,13aggregationhomework 6 due; homework 7 announcedDraft Slide Chapter 10 (until p.19)
12/17,20aggregationDraft Slide Chapter 10
12/24,27similarity-based modelshomework 7 dueDraft Chatper 6 (kNN, RBF Network, kMeans)
12/31,1/3no class on 12/31; unsupervised, semi-supervised, active learningclass notes
1/7summary, award ceremonyfinal project dueclass notes

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