Machine Learning Reading group - Fall 2011 - Spring 2012

The book

We read the book:
5th printing of " The Elements of Statistical Learning (2nd edition) Hastie, Tibshirani and Friedman (2008). Springer-Verlag.
(download)   (webpage of the book)

The regular time for the reading group will be Wednesdays from 2 tp 3 PM. Room Sicile.

Organizer

Aline Roumy

Members

Marco Bevilacqua, Anthony Bourrier, Elsa Dupraz, Thomas Guionnet, Raul Martinez Noriega, Aline Roumy

Program

• Chapter 2 Overview of Supervised Learning
  Reader Raul
  Meetings Sept 22, 28
  
  
• Chapter 3 Linear Methods for Regression
  Reader Elsa
  Meetings Oct 10, 14
  
  
• Chapter 4 Linear Methods for Classification
  Reader Marco
  Meetings Oct 19, Nov 3
  
  
• Chapter 5 Basis Expansions and Regularization
  Reader Anthony
  Meetings Nov 9, 15
  
  
• Chapter 6 Kernel Smoothing Methods
  Reader Raul
  Meetings Nov 30, Dec 14th
  
  
• Chapter 7 Model Assessment and Selection
  Reader Aline
  Meetings Jan 4, 6
  
  
• Chapter 8 Model Inference and Averaging
  Reader Elsa
  Meetings Jan 13, 20
  
  
• Chapter 9 Additive Models, Trees, and Related Methods
  Reader Marco
  Meetings Jan 27, 30
  
  
• Chapter 10 Boosting and Additive Trees
  Reader Anthony
  Meetings Feb 6, 13
  
  
• Chapter 11 Neural Networks
  Reader Aline
  Meetings Feb 27
  
  
• Chapter 12 Support Vector Machines and Flexible Discriminants
  Reader Raul
  Meetings March 5, 20
  
  
• Chapter 13 Prototype Methods and Nearest-Neighbors
  Reader Marco
  Meetings April 2nd
  
  
• Chapter 14 Unsupervised Learning
  Sections 1 2 3
  Reader Elsa
  Meetings April 12, 23
  
  Sections 4 5
  Reader Aline
  Meetings May 14
  
  Sections 6 7 8 9 10
  Reader Marco
  Meetings May 29
  
  
• Independent Component Analysis
  Reader Marco
  Meetings June 4th
  
  
• Chapter 17 Undirected Graphical Models
  Reader Raul
  Meetings June 4th
  
  
• Chapter 18 High-Dimensional Problems: p >> N ,
  Reader
  Meetings