Course modules: MVE441 / MSA220 Statistical learning for big data

Planning

Planning Planning

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Plan for the course Plan for the course 1

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Examples of old exams

Examples of old exams Examples of old exams

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Old exams Old exams 1

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Page

Expectations on solutions for Exam June 2020 Expectations on solutions for Exam June 2020 2

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Projects

Projects Projects

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General instructions for projects General instructions for projects 1

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Context Module Subheader

Project 1 3

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

project1-2022.html project1-2022.html 4

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

[Project 1] Presentation [Project 1] Presentation 1 6

assignment 231122 1

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

[Project 1] Code [Project 1] Code 1 7

assignment 231123 1

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Context Module Subheader

Project 2 9

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

project2-clustering-questions-2022.html project2-clustering-questions-2022.html 11

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

[Project 2] Presentation [Project 2] Presentation 1 12

assignment 231127 1

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

[Project 2] Code [Project 2] Code 1 13

assignment 231128 1

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Context Module Subheader

Project 3 15

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Project3-2022-Questions.html Project3-2022-Questions.html 17

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

[Project 3] Presentation [Project 3] Presentation 1 18

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

[Project 3] Code [Project 3] Code 1 19

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Additional Material

Additional Material Additional Material

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Resources for self-studies Resources for self-studies 1

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Attachment

[Python] Programming tips and common mistakes [Python] Programming tips and common mistakes 2

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

[Python, Jupyter Notebook] Programming tips and common mistakes [Python, Jupyter Notebook] Programming tips and common mistakes 3

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

[R] Programming tips and common mistakes [R] Programming tips and common mistakes 4

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

[R, Jupyter Notebook] Programming tips and common mistakes [R, Jupyter Notebook] Programming tips and common mistakes 5

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Lecture 1: Introduction

Lecture 1: Introduction Lecture 1: Introduction

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Lecture 1 - Recommended Reading Lecture 1 - Recommended Reading 1

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Attachment

[PDF] Course information and formalities [PDF] Course information and formalities 6

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Attachment

[PDF] Lecture 1: Introduction [PDF] Lecture 1: Introduction 7

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

R-code to generate figures in Lecture 1 R-code to generate figures in Lecture 1 8

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Lecture 2: Parametric classification, Model evaluation and bias-variance tradeoff

Lecture 2: Parametric classification, Model evaluation and bias-variance tradeoff Lecture 2: Parametric classification, Model evaluation and bias-variance tradeoff

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Lecture 2 - Recommended Reading-2 Lecture 2 - Recommended Reading-2 1

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Page

Lecture 2 - Additional Material Lecture 2 - Additional Material 3

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Attachment

Lecture02 pdf slides Lecture02 pdf slides 4

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Attachment

R code to generate figures in Lecture02 R code to generate figures in Lecture02 5

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Extremely simple version of the code that might be easier to follow Extremely simple version of the code that might be easier to follow 6

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Attachment

Lecture02b pdf slides Lecture02b pdf slides 7

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Attachment

Code for Lecture02b figures Code for Lecture02b figures 8

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Attachment

[PDF] Variance of the Cross-Validation Error [PDF] Variance of the Cross-Validation Error 11

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Context Module Subheader

Articles referenced in the PDF on variance of the CV error 12

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Attachment

Nadeau and Bengio (2003).pdf Nadeau and Bengio (2003).pdf 13

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Attachment

Bengio and Grandvalet (2004).pdf Bengio and Grandvalet (2004).pdf 14

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Attachment

Jiang and Wang (2017).pdf Jiang and Wang (2017).pdf 15

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Attachment

Markatou et al. (2005).pdf Markatou et al. (2005).pdf 16

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Lecture 3: Rule-based classification and regression

Lecture 3: Rule-based classification and regression Lecture 3: Rule-based classification and regression

Page

Lecture 3 - Recommended Reading and Additional Material Lecture 3 - Recommended Reading and Additional Material 1

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Attachment

Lecture 3 slides pdf Lecture 3 slides pdf 5

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Lecture 3 R code to generate figures and tables Lecture 3 R code to generate figures and tables 6

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Context Module Subheader

Interesting papers - relating to questions asked after class 7

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Attachment

AnalyzingBagging.pdf Talks about how you bootstrap aggregating "smooths" hard decisions/unstable estimators, AnalyzingBagging.pdf Talks about how you bootstrap aggregating "smooths" hard decisions/unstable estimators, 8

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Lecture 4: Regularized and Flexible Discriminant Analysis

Lecture 4: Regularized and Flexible Discriminant Analysis Lecture 4: Regularized and Flexible Discriminant Analysis

Page

Lecture 4 - Recommended Reading Lecture 4 - Recommended Reading 1

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Lecture04 slides pdf Lecture04 slides pdf 2

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Attachment

Lecture04 R code Lecture04 R code 3

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Lecture 5: Classification and dimension reduction

Lecture 5: Classification and dimension reduction Lecture 5: Classification and dimension reduction

Complete one item

Page

Lecture 5 - Recommended Reading Lecture 5 - Recommended Reading 1

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Attachment

Lecture05-22.pdf Lecture05-22.pdf 6

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Attachment

Lecture05-22.R Lecture05-22.R 7

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Lecture5b-2022.pdf Lecture5b-2022.pdf 8

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Lecture 6: Clustering

Lecture 6: Clustering Lecture 6: Clustering

Complete one item

Page

Lecture 6 - Recommended and Additional Reading Lecture 6 - Recommended and Additional Reading 1

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Attachment

Lecture06-2022.pdf Lecture06-2022.pdf 5

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Lecture06a-2022.R Lecture06a-2022.R 6

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Lecture06b-2022.pdf Lecture06b-2022.pdf 7

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Lecture06b-2022.R Lecture06b-2022.R 8

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Lecture 7: Clustering (cont'd)

Lecture 7: Clustering (cont'd) Lecture 7: Clustering (cont'd)

Complete one item

Page

Lecture 7 - Recommended Reading Lecture 7 - Recommended Reading 1

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Lecture07-2022.pdf Lecture07-2022.pdf 5

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Lecture07-2022.R Lecture07-2022.R 6

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mclustdemo.R mclustdemo.R 7

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Mclust article Mclust article 8

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Paper on variable selection in clustering Paper on variable selection in clustering 9

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Lecture 8: Density-based and high-dimensional clustering

Lecture 8: Density-based and high-dimensional clustering Lecture 8: Density-based and high-dimensional clustering

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Lecture08-2022.pdf Lecture08-2022.pdf 4

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Lecture08-2022.R Lecture08-2022.R 5

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[PDF] Article that introduced CLIQUE - Agrawal et al. (1998) [PDF] Article that introduced CLIQUE - Agrawal et al. (1998) 6

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[PDF] Article that introduced ProClus - Aggarwal et al. (1999) [PDF] Article that introduced ProClus - Aggarwal et al. (1999) 7

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Lecture8 cont' Lecture8 cont' 8

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Clustering Demo jupyter notebook Clustering Demo jupyter notebook 9

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Clustering Demo htlm of notebook Clustering Demo htlm of notebook 10

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Consensus cluster paper Consensus cluster paper 14

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TCGAdata.RData TCGAdata.RData 15

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Lecture 9: Feature selection and regularised regression

Lecture 9: Feature selection and regularised regression Lecture 9: Feature selection and regularised regression

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Lecture 9 - Recommended Reading Lecture 9 - Recommended Reading 1

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Slides Lecture 9 Slides Lecture 9 5

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R code for the slides R code for the slides 6

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Adaptive Lasso paper Adaptive Lasso paper 7

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Lecture 10: Regularised regression (cont'd)

Lecture 10: Regularised regression (cont'd) Lecture 10: Regularised regression (cont'd)

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Lecture 10 - Recommended Reading Lecture 10 - Recommended Reading 1

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Lecture10-22.pdf Lecture10-22.pdf 5

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Lecture10-22.R Lecture10-22.R 6

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Demo from class [html] Demo from class [html] 7

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Demo jupyter notebook Demo jupyter notebook 8

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Lecture 11: Data representations - Linear Methods

Lecture 11: Data representations - Linear Methods Lecture 11: Data representations - Linear Methods

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Lecture 11 - Recommended Reading Lecture 11 - Recommended Reading 1

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Lecture11-22.pdf Lecture11-22.pdf 5

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lecture11-22.R lecture11-22.R 6

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Lee and Seung (1999) - The original Nature article which shows some applications of NMF Lee and Seung (1999) - The original Nature article which shows some applications of NMF 7

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Lee and Seung (2000) - A more technical NeurIPS article describing multiplicative updates for NMF Lee and Seung (2000) - A more technical NeurIPS article describing multiplicative updates for NMF 8

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DemoLecture11.html DemoLecture11.html 9

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DemoLecture11.ipynb DemoLecture11.ipynb 10

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The puppy image for the demo: puppy.txt The puppy image for the demo: puppy.txt 11

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Lecture 12: Data representations - Kernel Methods

Lecture 12: Data representations - Kernel Methods Lecture 12: Data representations - Kernel Methods

Complete one item

Page

Lecture 12 - Recommended Reading + Preliminaries Lecture 12 - Recommended Reading + Preliminaries 1

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lecture12-22.pdf lecture12-22.pdf 5

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lecture12-22.R lecture12-22.R 6

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kPCAdemo.html kPCAdemo.html 7

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kRR demo.html kRR demo.html 8

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kPCAdemo.ipynb kPCAdemo.ipynb 9

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kRR demo.ipynb kRR demo.ipynb 10

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Lecture 13: Data representations - Preserving local geometry

Lecture 13: Data representations - Preserving local geometry Lecture 13: Data representations - Preserving local geometry

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Page

Lecture 13 - Recommended Reading + Preliminaries Lecture 13 - Recommended Reading + Preliminaries 1

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2008 - Van Der Maaten and Hinton - Article that introduced tSNE 2008 - Van Der Maaten and Hinton - Article that introduced tSNE 5

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Lecture13 Slides Lecture13 Slides 6

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lecture13 code lecture13 code 7

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Demo lecture 13 [html] Demo lecture 13 [html] 8

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Demo lecture 13 [notebook] Demo lecture 13 [notebook] 9

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Lecture 14: Multiple testing and high-dimensional inference

Lecture 14: Multiple testing and high-dimensional inference Lecture 14: Multiple testing and high-dimensional inference

Page

Recommened reading and preliminaries Recommened reading and preliminaries 1

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Lecture14b-22.pdf Lecture14b-22.pdf 2

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Demo-Lecture14-22.html Demo-Lecture14-22.html 3

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Demo-Lecture14-22.ipynb Demo-Lecture14-22.ipynb 4

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Lecture 15: High-dimensional inference

Lecture 15: High-dimensional inference Lecture 15: High-dimensional inference

Page

Lecture 15: Recommened reading and preliminaries Lecture 15: Recommened reading and preliminaries 2

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Lecture15-22.pdf Lecture15-22.pdf 3

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Demo-Lecture15-22.html Demo-Lecture15-22.html 4

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Demo-Lecture15-22.ipynb Demo-Lecture15-22.ipynb 5

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Lecture 16: Large n methods and considerations

Lecture 16: Large n methods and considerations Lecture 16: Large n methods and considerations

Page

Recommened reading Recommened reading 1

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lecture16-22.pdf lecture16-22.pdf 2

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Demo-Lecture16-22.html Demo-Lecture16-22.html 4

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Attachment

kc_house_data.csv kc_house_data.csv 5

attachment 278516 0

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Lecture 17: Additional topics

Lecture 17: Additional topics Lecture 17: Additional topics

Page

Recommended reading Recommended reading 1

wiki_page 278341 0

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

TyposFixedlecture17-22b.pdf TyposFixedlecture17-22b.pdf 3

attachment 278392 0

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Review Lecture

Review Lecture Review Lecture

Attachment

Review-22.pdf Review-22.pdf 1

attachment 278515 0

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Page

Recommended course & Master thesis projects Recommended course & Master thesis projects 2

wiki_page 278517 0

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete