An Introduction to Machine Learning
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Wednesday, 19 February 2020 @ 09:30
End: Friday, 21 February 2020 @ 17:00
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Scientific topic: Machine learning, Data mining, BioinformaticsTarget 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
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.
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