SUPPORT VECTOR MACHINE
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Notes: these educational resources correspond to the Big Data Analytics: Support Vector Machine course from the second year of the ESA master's program (Applied Econometrics and Statistics) at the University of Orléans.
Course HANDOUT
Course HANDOUT
Download the course handout (pdf file)
Course Outline
Section 1: Introduction
Section 2: SVM Intuition
Section 3: SVM Formalization
Section 4: Soft Margin
Section 5: Kernel trick
Section 7: SVM Variants
Some achievements of ESA master's students
SVM demonstrator developed in R-Shiny by Elisa Korn, Imane Salihi and Alexis Lignoux
SVM demonstrator developed in R-Shiny by Loïc Palma and Elie Picaud
SVM demonstrator developed in R-Shiny by Victor Ye, Karl Meunier, and Thibaut Raoul-Jourde
Démonstrateur SVM réalisé sous R-Shiny par Songui Kone
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