Descriptif
http://datascience-x-master-paris-saclay.fr/le-master/structure-des-enseignements/
cours obligatoire du master
cours à l'école Polytechnique
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 problem, 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.
cours obligatoire du master
cours à l'école Polytechnique
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 problem, 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.
40 heures en présentiel
Diplôme(s) concerné(s)
- Master 2 Data Sciences
- Inside ENSTA Paris
- Diplôme d'Ingénieur de l'Ecole Nationale Supérieure de Techniques Avancées
Parcours de rattachement
Format des notes
Numérique sur 20Pour les étudiants du diplôme Master 2 Data Sciences
Le rattrapage est autorisé (Note de rattrapage conservée)- le rattrapage est obligatoire si :
- Note initiale < 7
- le rattrapage peut être demandé par l'étudiant si :
- 7 ≤ note initiale < 10
- Crédits ECTS acquis : 4 ECTS
Pour les étudiants du diplôme Inside ENSTA Paris
Pour les étudiants du diplôme Diplôme d'Ingénieur de l'Ecole Nationale Supérieure de Techniques Avancées
Programme détaillé