Week of ...
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Topics
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Slides & Readings
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Feb
1
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Tutorial
Overview and Learning Python
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Feb
6
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Learning
numpy/scipy and simple
gradient descendent
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Feb
13
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Introducing
Project 1:
KDDCUP 2009
Project
1 Deadline:
15 Mar 2012
Assignment
1 Deadline:
25 Feb 2012
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Feb
20
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Classification
tools
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Slide:
T4-classify.pptx
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Code:
T4-experiment.py
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Kernel
SVM: libsvm,
svmlight
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Linear
SVM/LogReg: liblinear
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LogReg: BBK
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Naïve
Bayes, Decision Trees: Weka
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Bagging,
Boosting on trees: FEST
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Other
classifiers: KNN, Neural Networks…
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Caruana et. al: An empirical evaluation
of supervised learning in high dimensions, ICML’08. Slide
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Caruana et. al: An
empirical comparison of supervised learning algorithms. ICML’06. Slide
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Feb
27
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Classification
and evaluation
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Slide:
T5-eval.pptx
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Code:
T5-eval.py
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Compute
AUC:
perf
(c, note),
yard (python), AUCCalculator
(java)
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Mar
5
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Ensemble
Project
1 Deadline:
18 Mar 2012
Project
report on:
25 Mar 2012
Assignment
2 Deadline:
19 Mar 2012
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Slide:
Assignment2.pptx
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Slide:
T6-ensemble.pptx
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Caruana et. al: Ensemble
Selection from Libraries of Models, ICML’04.
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D.
H. Wolpert: Stacked
generalization, 1990.
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Mar
12
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Reading
and writing reports
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Slide:
T7-report.pptx
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Mar
19
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Summary
of assignment 2
Assignment
3:
Deadline:
4 April 2012
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Doc:
Assignment3.docx
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Slide:
T8-ass2_3.pptx
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Mar
26
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Introducing
Project 2
KDDCup 2012 Task 1
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Slide:
T9-proj2-kddcup2012.pptx
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KDDCup 2012
Website
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Apr
2
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Spring
break
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Apr
9
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Playing
with CF tools
Discuss
Assignment 3
Assignment 4
Deadline:
26 Apr 2012
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Slide:
T10-CF.pptx
Recommended
packages:
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libFM, its manual and paper
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svdfeature,
note
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MyMediaLite,
paper
Other
packages:
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Probabilistic Matrix
Factorization
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LensKit, paper
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GraphLab
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