Scientific topics: Data mining
An Introduction to Machine Learning (ONLINE LIVE TRAINING)
5 - 8 October 2020
Cambridge, United KingdomAn Introduction to Machine Learning (ONLINE LIVE TRAINING) http://training.csx.cam.ac.uk/bioinformatics/event/3590342 https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-online-live-training-a2aeb4bb-41d7-4a01-8977-d5172fecc0cd 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. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3590342&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2020-10-05 08:30:00 UTC 2020-10-08 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Data mining University of Cambridge Bioinformatics Training  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 studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses  HDRUK
COMBINE 2020 - ONLINE FORUM
5 - 9 October 2020COMBINE 2020 - ONLINE FORUM http://co.mbine.org/events/COMBINE_2020 https://tess.elixir-europe.org/events/combine-2020-online-forum The "Computational Modeling in Biology" Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats in systems biology and related fields. COMBINE 2020 will be a workshop-style online event with oral presentations and breakout sessions. The five meeting days will include talks about the COMBINE standards and associated or related standardization efforts, presentations of tools using these standards and other use cases as well as tutorials. COMBINE 2020 will provide a schedule which takes into account all time zones around the world, a real 24 hour conference. The first two days will be talks and presentations including keynote speakers. Talks on Monday will be recorded and the recordings presented again on Tuesday, together with a live question and answer session with the speaker, at a different time shifted for a different time zone. Wednesday to Friday will be for breakout sessions and tutorials. The meeting will be free of charge. Registration will open at the end of July and be kept open until the conference, however, to be able to consider your availability we need your registration before Sept. 1, 2020. The submission deadline for abstracts for talks, breakouts, and tutorials will also be on Sept. 1, 2020. 2020-10-05 09:00:00 UTC 2020-10-09 00:00:00 UTC Data architecture, analysis and design Data mining Data quality management Data management Data visualisation Data integration and warehousing Data submission, annotation and curation Systems biology Systems medicine    meetings_and_conferencesworkshops_and_courses  
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