Date: 7 - 14 March 2023

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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 note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest 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, After you have booked a place, if you are unable to attend any of the live sessions and would like to work in your own time, please email the Team as Attendance will be taken on all courses. A charge is applied for non-attendance, including for registered university students.

Event types:

  • Workshops and courses

Scientific topics: Data mining, Machine learning


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