CGIAR-CSI Community Meeting 2020 has ended
CGIAR Geospatial Data CoP // 2020 Community Meeting // 2-4 March 2020

Wednesday, March 4 • 3:30pm - 5:00pm
Session 12: Machine Learning with Metadata and Experimental Citizen Science in R

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Machine learning is the scientific study of algorithms and statistical models that provides the computer the ability to automatically learn and improve from experience. In this workshop, we will work in a set of tools developed by Bioversity-CIAT to facilitate the analysis of metadata and experimental citizen science data, from collating data of different sources, gathering environmental variables, to model selection and visualization. All in a single pipeline in R that can be automated to improve predictions and recommendations for agriculture. The tools are available at https://github.com/agrobioinfoservices (look at the pinned repositories).


Kauê de Sousa

Research Fellow, Bioversity-CIAT Alliance
Kauê is a PhD Candidate at the Inland Norway University of Applied Sciences and a Research Fellow at Bioversity-CIAT. His research interests are in climate adaptation and agrobiodiversity.

Wednesday March 4, 2020 3:30pm - 5:00pm
Van der Valk Hotel Schiphol A4 3, 2132 MA Hoofddorp, Netherlands