AI for ecologists: a toolkit
FRB-CESAB training course
Welcome
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This five-day training course, organized by the FRB-CESAB aims to initiate ecologists to AI concepts and tools. The course will be a mix of lectures and hands-on practice based on different data types commonly encountered in ecology. The main objective of the course is to give to the participants the autonomy that will allow them to assess which algorithms are most adapted to their own research questions, where to find them and how to adjust them to the desired question.
Program
Introduction and overview of main AI concepts
Introduction to data science
Supervised learning, unsupervised learning
Deep learning
Symbolic AI
Prerequisites
You must have a strong programming background, at least in R.
Familiarity with Python is preferred, but not mandatory. In fact, to make sure that we all start on similar bases, we require that you follow these tutorials (list coming soon) before attending the training course.
Point at tutorial
Material
All the material used in this training course (slides, data, exercises) is available at: https://github.com/ai-ecol/
Citation
Ayata S-D, Blondel L, Coux c, Justea-Allaire D, Servajean M, Tresson P. (2024) AI for ecologists: a toolkit for beginners. An FRB-CESAB training course. URL: https://ai-ecol.github.io/
Contributions
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Reuse
Text and figures are licensed under Creative Commons Attribution CC By 4.0, unless otherwise noted.
See also
Discover the other training courses provided by the FRB-CESAB and its partners: https://frbcesab.github.io/training-courses/