An Introduction to Machine Learning
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Thursday, 28 September 2017 @ 08:30
End: Friday, 29 September 2017 @ 16:00
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Scientific topic: Machine learning, Data mining, BioinformaticsTarget 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
- Please be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here
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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