Level
Baccalaureate +5
ECTS
3 credits
Component
UFR PhITEM (physique, ingénierie, terre, environnement, mécanique)
Semester
Automne
Description
The objective of this course is to provide an introduction to statistical analysis and machine learning in order to help the students apply relevant methods to analyze specific datasets.
Different families of unsupervised and supervised methods will be covered, while also providing a general approach to validate and test results. We illustrate this course with examples from environmental sciences. The datasets correspond to concrete cases of analysis presented in the form of ipython notebook.
Course parts
- UE Machine learning for environmental sciences - CMTDLectures (CM) & Teaching Unit (UE)24h
Period
Semester 9