Linear algebra and applications to data science
DL2 IASO, Université Paris Dauphine-PSL, 2024-2025
Course outcomes
Understand basic mathematical concepts of linear algebra and illustrate their use in data science.
Resources (in French)
Virtual board Sep. 5
PDF
Virtual board Sep. 19
PDF
Virtual board Sep. 20
PDF
Virtual board Sep. 26
PDF
Virtual board Sep. 27
PDF
Virtual board Oct. 2
PDF
Virtual board Oct. 10
PDF
Virtual board Oct. 11
PDF
Virtual board Oct. 17
PDF
Virtual board Oct. 18
PDF
Virtual board Nov. 07
PDF
Virtual board Nov. 08
PDF
Virtual board Nov. 14
PDF
Virtual board Nov. 21
PDF
Lecture notes (updated regularly)
PDF
Exercises (in French)
Sheet 1 (Linear algebra, with solutions)
PDF
Sheet 2 (Eigenvalues, with solutions)
PDF
Lab 1 (Linear dynamical systems and eigenvalues)
Notebook/
Solutions
Sheet 3 (Polynomials, with solutions)
PDF
Sheet 4 (Recap and Jordan form, with solutions)
PDF
Midterm with solutions
PDF
Sheet 5 (Quadratic forms, with solutions)
PDF
Materials on this page are available under Creative Commons
CC BY-NC 4.0 license.
La version française de cette page se trouve
ici.