Date: 13 - 15 March 2019

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Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment.

Please be aware that the course syllabus is currently being updated following feedback from the last event; therefore the agenda below will be subjected to changes.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.''

Keywords: HDRUK

Venue: Craik-Marshall Building

City: Cambridge

Country: United Kingdom

Postcode: CB2 3AR

Organizer: University of Cambridge

Host institutions: University of Cambridge Bioinformatics Training

Target audience: This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research., Graduate students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals

Event types:

  • Workshops and courses

Scientific topics: Bioinformatics, Data mining, Machine learning


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