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DTSTART;VALUE=DATE:20250203
DTEND;VALUE=DATE:20250215
UID:17023@agenda.unifr.ch
DESCRIPTION:The “Fribourg Winter School in Data Analytics and Machine Learning” provides training in state-of-the-art quantitative tools for predictive and causal analysis. The winter school takes place in hybrid form, implying that participants can attend courses either in class (face-to-face) or online. Please note that the sessions will not be recorded. The one- to three-days-courses cover both introductory and more advanced topics, using the open source software packages “Python”, “R”, "Julia" and “Knime”. “Python”, “R” and "Julia" are among the most popular programming languages in data science and statistics, while “Knime” is a user-friendly, flow-chart based graphical interface that does not require any programming skills.
SUMMARY:Winter School in Data Analytics and Machine Learning
CATEGORIES:Colloque / Congrès / Forum\, Journée\, Autre
LOCATION:PER 21\, E040, C230\, Bd de Pérolles 90\, 1700 Fribourg
URL;VALUE=URI:https://agenda.unifr.ch/e/fr/17023
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