Course modules

Planning

Planning
Module completed Module in progress Module locked
Planning 18620  
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    Plan for the rest of the term Plan for the rest of the term
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  • Page
    Chapter marks in lecture videos Chapter marks in lecture videos
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Exam

Exam
Module completed Module in progress Module locked
Exam 21614  
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    Expectations on submissions Expectations on submissions
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Projects

Projects
Module completed Module in progress Module locked
Projects 18170  
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    Instructions for projects Instructions for projects
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  • Context Module Subheader

    Project 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
  • Page
    Topics for project 1 Topics for project 1
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  • Assignment
    [individual hand-in] Classification for increasing feature space dimension [individual hand-in] Classification for increasing feature space dimension
    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
    [individual hand-in] Determine classifier strengths [individual hand-in] Determine classifier strengths
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  • Assignment
    [individual hand-in] Mislabeling in training data [individual hand-in] Mislabeling in training data
    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

    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
    Impact of linkage on hierarchical clustering and covariance type on GMM clustering Impact of linkage on hierarchical clustering and covariance type on GMM clustering
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  • Assignment
    Other ways of selecting cluster count Other ways of selecting cluster count
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  • Assignment
    The effect of unrelated features in high-dimensional clustering The effect of unrelated features in high-dimensional clustering
    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

    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
    Project 3: A general note on simulating data Project 3: A general note on simulating data
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  • Assignment
    The lasso and sparsity levels The lasso and sparsity levels
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  • Assignment
    Group lasso: Wrong vs correct groups Group lasso: Wrong vs correct groups
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  • Assignment
    Sparse vs dense classification Sparse vs dense classification
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  • Context Module Subheader

    Project 4

    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
    [PDF] Algorithm for kernel ridge regression [PDF] Algorithm for kernel ridge regression
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  • Attachment
    [PDF] Description and algorithm for kernel k-means [PDF] Description and algorithm for kernel k-means
    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
    [PDF] Reminder on NMF clustering [PDF] Reminder on NMF clustering
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  • Assignment
    Kernel k-means Kernel k-means
    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
    Kernel ridge regression Kernel ridge regression
    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
    NMF clustering NMF clustering
    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
Module completed Module in progress Module locked
Additional Material 18575  
  • Context Module Subheader

    Zoom Session (2020-04-20)

    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
    [PDF] Slightly in-depth summary of the Zoom session on 2020-04-20 [PDF] Slightly in-depth summary of the Zoom session on 2020-04-20
    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 the moons example (Zoom session 2020-04-20) [R] Code to generate the moons example (Zoom session 2020-04-20)
    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

    Sources for Zoom session (2020-04-20)

    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
    Bengio and Grandvalet (2004).pdf Bengio and Grandvalet (2004).pdf
    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
    Jiang and Wang (2017).pdf Jiang and Wang (2017).pdf
    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
    Markatou et al. (2005).pdf Markatou et al. (2005).pdf
    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
    Nadeau and Bengio (2003).pdf Nadeau and Bengio (2003).pdf
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  • Attachment
    Ng and Jordan (2002).pdf Ng and Jordan (2002).pdf
    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
  • Complete one item
Module completed Module in progress Module locked
Lecture 1: Introduction 16732  
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    Lecture 1 - Recommended Reading Lecture 1 - Recommended Reading
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  • Page
    Lecture 1 - Videos Lecture 1 - Videos
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  • Attachment
    [PDF] Course information and formalities [PDF] Course information and formalities
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  • Attachment
    [PDF, Updated] Slides for lecture 1 [PDF, Updated] Slides for lecture 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
  • Attachment
    [R] Code to generate figures in lecture 1 [R] Code to generate figures in lecture 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
  • Discussion topic
    [Discuss] Derivation of the optimal regression function [Discuss] Derivation of the optimal regression function
    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: Model-based classification

Lecture 2: Model-based classification
  • Complete one item
Module completed Module in progress Module locked
Lecture 2: Model-based classification 16733  
  • Page
    Lecture 2 - Recommended Reading Lecture 2 - Recommended Reading
    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
    Lecture 2 - Video Lecture 2 - Video
    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
    [PDF, Updated 2020-03-31] Slides for lecture 2 [PDF, Updated 2020-03-31] Slides for lecture 2
    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 2 [R] Code to generate figures in lecture 2
    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
  • Discussion topic
    [Discuss] Discriminant Analysis and its MLE [Discuss] Discriminant Analysis and its MLE
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Lecture 3: Model evaluation and bias-variance tradeoff

Lecture 3: Model evaluation and bias-variance tradeoff
  • Complete one item
Module completed Module in progress Module locked
Lecture 3: Model evaluation and bias-variance tradeoff 18109  
  • Page
    Lecture 3 - Recommended Reading Lecture 3 - Recommended Reading
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  • Page
    Lecture 3 - Video Lecture 3 - Video
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  • Page
    Lecture 3 - Additional Material Lecture 3 - Additional Material
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  • Attachment
    [PDF, Updated] Slides for lecture 3 [PDF, Updated] Slides for lecture 3
    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/tables in lecture 3 [R] Code to generate figures/tables in lecture 3
    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
  • Discussion topic
    [Discuss] Derivation of the bias-variance tradeoff for regression models [Discuss] Derivation of the bias-variance tradeoff for regression models
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Lecture 4: Rule-based classification and regression

Lecture 4: Rule-based classification and regression
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Module completed Module in progress Module locked
Lecture 4: Rule-based classification and regression 18179  
  • Page
    Lecture 4 - Recommended Reading and Additional Material Lecture 4 - Recommended Reading and Additional Material
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  • Page
    Lecture 4 - Video Lecture 4 - Video
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  • Attachment
    [PDF, Updated 2020-04-22] Slides for lecture 4 [PDF, Updated 2020-04-22] Slides for lecture 4
    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 4 [R] Code to generate figures in lecture 4
    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 5: Classification and dimension reduction

Lecture 5: Classification and dimension reduction
  • Complete one item
Module completed Module in progress Module locked
Lecture 5: Classification and dimension reduction 18262  
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    Lecture 5 - Recommended Reading Lecture 5 - Recommended Reading
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  • Page
    Lecture 5 - Video Lecture 5 - Video
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    [PDF] Slides for lecture 5 [PDF] Slides for lecture 5
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    [R] Code to generate figures in lecture 5 [R] Code to generate figures in lecture 5
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  • Attachment
    [PDF, WIP] Theoretical information on matrix factorisation techniques (PCA, SVD, ...) [PDF, WIP] Theoretical information on matrix factorisation techniques (PCA, SVD, ...)
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Lecture 6: Clustering

Lecture 6: Clustering
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Lecture 6: Clustering 18476  
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    Lecture 6 - Recommended Reading Lecture 6 - Recommended Reading
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    Lecture 6 - Video Lecture 6 - Video
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    [PDF] Slides for lecture 6 [PDF] Slides for lecture 6
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  • Attachment
    [R] Code to generate figures in lecture 6 [R] Code to generate figures in lecture 6
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Lecture 7: Clustering (cont'd)

Lecture 7: Clustering (cont'd)
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Lecture 7: Clustering (cont'd) 18477  
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    Lecture 7 - Recommended Reading Lecture 7 - Recommended Reading
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    Lecture 7 - Video Lecture 7 - Video
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    [PDF] Slides for lecture 7 [PDF] Slides for lecture 7
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  • Attachment
    [R] Code to generate figures in lecture 7 [R] Code to generate figures in lecture 7
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Lecture 8: Density-based and high-dimensional clustering

Lecture 8: Density-based and high-dimensional clustering
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Lecture 8: Density-based and high-dimensional clustering 18585  
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    Lecture 8 - Video Lecture 8 - Video
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  • Attachment
    [PDF] Slides for lecture 8 [PDF] Slides for lecture 8
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  • Attachment
    [R] Code to generate tables and figures in lecture 8 [R] Code to generate tables and figures in lecture 8
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  • Attachment
    [PDF] Article that introduced CLIQUE - Agrawal et al. (1998) [PDF] Article that introduced CLIQUE - Agrawal et al. (1998)
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  • Attachment
    [PDF] Article that introduced ProClus - Aggarwal et al. (1999) [PDF] Article that introduced ProClus - Aggarwal et al. (1999)
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Lecture 9: Feature selection and regularised regression

Lecture 9: Feature selection and regularised regression
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Lecture 9: Feature selection and regularised regression 18586  
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    Lecture 9 - Recommended Reading Lecture 9 - Recommended Reading
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    Lecture 9 - Video Lecture 9 - Video
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  • Attachment
    [PDF] Slides for lecture 9 [PDF] Slides for lecture 9
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  • Attachment
    [R] Code to generate figures in lecture 9 [R] Code to generate figures in lecture 9
    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 10: Regularised regression (cont'd)

Lecture 10: Regularised regression (cont'd)
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Lecture 10: Regularised regression (cont'd) 18622  
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    Lecture 10 - Recommended Reading Lecture 10 - Recommended Reading
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    Lecture 10 - Video Lecture 10 - Video
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  • Attachment
    [PDF] Slides for lecture 10 [PDF] Slides for lecture 10
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  • Attachment
    [R] Code to generate figures in lecture 10 [R] Code to generate figures in lecture 10
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Lecture 11: Data representations - Linear Methods

Lecture 11: Data representations - Linear Methods
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Lecture 11: Data representations - Linear Methods 18623  
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    Lecture 11 - Recommended Reading Lecture 11 - Recommended Reading
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    Lecture 11 - Video Lecture 11 - Video
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  • Attachment
    [PDF] Slides for lecture 11 [PDF] Slides for lecture 11
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  • Attachment
    [R] Code to generate figures in lecture 11 [R] Code to generate figures in lecture 11
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  • Attachment
    Lee and Seung (1999) - The original Nature article which shows some applications Lee and Seung (1999) - The original Nature article which shows some applications
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  • Attachment
    Lee and Seung (2000) - A more technical NeurIPS article describing multiplicative updates Lee and Seung (2000) - A more technical NeurIPS article describing multiplicative updates
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Lecture 12: Data representations - Kernel Methods

Lecture 12: Data representations - Kernel Methods
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Lecture 12: Data representations - Kernel Methods 18624  
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    Lecture 12 - Recommended Reading Lecture 12 - Recommended Reading
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    Lecture 12 - Video Lecture 12 - Video
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    [PDF] Slides for lecture 12 [PDF] Slides for lecture 12
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  • Attachment
    [R] Code to generate figures in lecture 12 [R] Code to generate figures in lecture 12
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Lecture 13: Data representations - Preserving local geometry

Lecture 13: Data representations - Preserving local geometry
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Lecture 13: Data representations - Preserving local geometry 18625  
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    Lecture 13 - Recommended Reading Lecture 13 - Recommended Reading
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    Lecture 13 - Video Lecture 13 - Video
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    [PDF] Slides for lecture 13 [PDF] Slides for lecture 13
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  • Attachment
    [R] Code to generate figures in lecture 13 [R] Code to generate figures in lecture 13
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  • Attachment
    2008 - Van Der Maaten and Hinton - Article that introduced tSNE 2008 - Van Der Maaten and Hinton - Article that introduced tSNE
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Lecture 14: Large-scale methods for data analysis

Lecture 14: Large-scale methods for data analysis
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Lecture 14: Large-scale methods for data analysis 18626  
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    Lecture 14 - Video Lecture 14 - Video
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  • Attachment
    [PDF] Slides for lecture 14 [PDF] Slides for lecture 14
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  • Attachment
    [R] Code to generate figures and tables in lecture 14 [R] Code to generate figures and tables in lecture 14
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Lecture 15: Advanced topics

Lecture 15: Advanced topics
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Lecture 15: Advanced topics 18627  
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    Lecture 15 - Recommended Reading Lecture 15 - Recommended Reading
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    Lecture 15 - Video Lecture 15 - Video
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  • Attachment
    [PDF] Slides for lecture 15 [PDF] Slides for lecture 15
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  • Attachment
    [R] Code to generate figures in lecture 15 [R] Code to generate figures in lecture 15
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minimum score must view must submit must contribute