Latest

2020.12.28: Updated lecture notes.
2020.12.17: Updated lecture notes.
2020.11.23: Added solution for the second lab session.
2020.11.16: Updated lecture notes.
2020.11.13: Updated lecture notes, added sources for the second lab session.
2020.11.09: Added notebook for the first lab session.
2020.11.01: Updated lecture notes.
2020.10.20: Updated lecture notes.
2020.10.16: Updated lecture notes.
2020.10.11: Updated lecture notes.
2020.09.25: Updated lecture notes.
2020.09.19: Updated lecture notes.
2020.09.11: Updated lecture notes.
2020.09.07: First version of the lecture notes.
2020.09.04: The course webpage is online.

Instructor

Clément Royer
clement.royer(at)dauphine.psl.eu

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Fundamentals of Machine Learning

L3 IM2D, Université Paris Dauphine-PSL, 2020-2021

Goals for this course

     Present standard data analysis techniques based on linear models.

Course material

     Introductory slides (in French) PDF
     Lecture notes (in French, updated regularly) PDF
     Sources for the first lab session (in French) [Python notebook] [Solution]
     Sources for the second lab session (in French) [Python notebook+Data files] [Solution]


Materials on this page are available under Creative Commons CC BY-NC 4.0 license.
La version française de cette page se trouve ici.