Number of hours
- Lectures 16.5
- Projects -
- Tutorials 1.5
- Internship -
- Laboratory works 15.0
- Written tests -
ECTS
ECTS 3.0
Responsible(s)
Clovis GALIEZ
Test
Evaluation : 33% of TP notés and 67% of Examen Ecrit (3h)
Resit : 33% of TP notés (reported score) and 67% of Examen Ecrit (1h30)
Grade: graded practical work (1/3) and final exam (2/3) (on paper or on machine without practical test)
Duration: graded practical work (1h30), final exam (3h)
Authorized documents and materials: all documents in paper form (books, course notes, etc.)
Remedial: written (1h30)
Calendar
The course exists in the following branches:
- Curriculum - Math. Modelling, Image & Simulation - Semester 8
Additional Information
Course ID : 4MMIIA
Course language(s): 
You can find this course among all other courses.
Bibliography
Très bons livres de référence en apprentissage machine :
An Introduction to Statistical Learning, James et al, https://www.statlearning.com/
Pattern Recognition and Machine Learning, Christopher M. Bishop
Spécifiquement sur le deep learning : https://www.deeplearningbook.org/
IA Symbolique : TBA