MVA Course - Introduction to Statistical Learning

2016/2017

Instructor: Nicolas VAYATIS <name/-at-/cmla.ens-cachan.fr>
Teaching assistant: Cédric MALHERBE

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Classes on Tuesdays: 8:45/10:45 from October 4 to December 13
Practical sessions (exercises) on:
- Tuesday October 25 am
- Tuesday November 8 am
- Tuesday November 29 am
- Tuesday December 13 am
Room: Condorcet (D'Alembert building) 
Office hours: Tuesdays 1pm/2pm - Laplace 126
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Partial exam on November 15 at 8:45am/10:45am - MANDATORY
Final exam on January 6 (pm) - OPTION 1
Project presentations on January 3 - OPTION 2
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Contents

Chapter 1 - Modeling aspects: Data, decision, risk, optimality
Chapter 2 - Tools: Concentration inequalities and complexity measures
Chapter 3 - Theory: Consistency and error bounds of learning algorithms

Chapter 4 - Advanced topics: multiclass classification, ranking, link prediction, ...

Files

Lectures: Intro / #1 / #2 / #3 / #4 / #5 / #6
Exercise sheets:
#1 / #2 / #3 / #4
Past exams: Final exam 2015 / Partial exam 2015 / Final exam 2014 / Partial exam 2014 / Partial exam 2013 / Final exam 2013 / Partial exam 2012 / Final exam 2012 /


References