An Introduction to Machine Learning (ONLINE LIVE TRAINING)
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Monday, 23 November 2020 @ 09:30
End: Wednesday, 25 November 2020 @ 17:00
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Scientific topic: Machine learning, Data miningTarget 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
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.
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.
- Workshops and courses