Descriptif
Program
Goal of the lectures:
- to draw your attention to some issues in data analysis, and some proposals to handle them;
- to learn to read a research paper, to catch the take home message and to identify the limits;
- to favor your own critical analysis.
The lecture will be based on some recent research papers. The presence during the lectures is mandatory and taken into account in the final evaluation.
Schedule
Lecture |
Topic |
Paper(s) |
Slides |
Further reading |
1 |
False discoveries, multiple testing, online issue |
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2 |
Strength and weakness of the Lasso |
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3 |
Adaptive data analysis |
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4 |
Curse of dimensionality, robust PCA, theoretical limits |
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5 |
Robust learning |
Diplôme(s) concerné(s)
Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme M2 Data Sciences
Le rattrapage est autorisé (Max entre les deux notes)- Crédits ECTS acquis : 2.5 ECTS
Pour les étudiants du diplôme Echanges PEI
Le rattrapage est autorisé (Max entre les deux notes)- Crédits ECTS acquis : 2.5 ECTS