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UE Machine learning for environmental sciences

  • 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.

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Course parts

  • UE Machine learning for environmental sciences - CMTDLectures (CM) & Teaching Unit (UE)24h

Period

Semester 9