An Introduction to Machine Learning
Date: 17 - 18 January 2018
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.
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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 introductory course is aimed at biologists with little or no experience in machine learning., 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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