 | Study programme 2021-2022 | Français | |
| Data Mining | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-MARO-014 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 18 | 18 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
- descriptive techniques such as principal components analysis and discriminant analysis
- classical models of statistical data analysis (analysis of variance, multiple linear regression)
- data mining / machine learning (classification and clustering)
Required Learning Resources/Tools
- slides of oral presentations (theory and examples) - problem sets
Recommended Learning Resources/Tools
Sans objet
Other Recommended Reading
R.O.Duda, P.E.Hart, D.G.Stork. "Pattern Classification". John Wiley and Sons, 2000.
C.M. Bishop Pattern recognition and machine learning. springer, 2006.
R.E.Walpole, R.H.Myers, S.L.Myers, K.Ye, "Probability and Statistics for Engineers and Scientists", Prentice Hall, 2012
K P Murphy, Machine learning: a probabilistic perspective. MIT press, 2012.
Mode of delivery
- Mixed
Type of Teaching Activity/Activities
- Cours magistraux
- Travaux pratiques
- Projet sur ordinateur
- Etudes de cas
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)