v2.2.1 (2024)

PA - C7 - MAP583 : Apprentissage profond

Domaine > Mathématiques appliquées.

Descriptif

Students will put their basic machine learning and data analysis knowledge to test for solving practical data science problems in scientific or industrial applications. Typically, we will treat two/three concrete problems coming from scientific or industrial applications (e.g., brain imaging, astrophysics, biology/chemistry, ad placement, insurance pricing). We describe and formalize the motivating problems,  discuss the possible solutions, choose one, and assist the students in solving the problem. We will provide data, advise students on their choice of tools, and set up a challenge environment where students can submit their solutions. Evaluation will be based on homework assignments and performance in the challenges. A

Format des notes

Numérique sur 20

Littérale/grade réduit

Pour les étudiants du diplôme M1 Innovation, Entreprise, et Société - Voie Innovation technologique

L'UE est acquise si note finale transposée >= C
  • Crédits ECTS acquis : 4 ECTS

La note obtenue rentre dans le calcul de votre GPA.

Pour les étudiants du diplôme Diplôme d'ingénieur de l'Ecole polytechnique

L'UE est acquise si note finale transposée >= C
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