Implementation of Data Management Plans & Data Stewardship in practice
11 September 2018
Athens, GreeceImplementation of Data Management Plans & Data Stewardship in practice https://elixir.mf.uni-lj.si/course/view.php?id=40 https://tess.elixir-europe.org/events/implementation-of-data-management-plans-data-stewardship-in-practice ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, taking place on Sept 11, 2018 as part of the ECCB2018 in Athens, Greece. 2018-09-11 17:30:00 UTC 2018-09-11 19:00:00 UTC Hellenic Society for Computational Biology Stavros Niarchos Foundation Cultural Center, 364, Leoforos Andrea Siggrou, Athens, Greece Stavros Niarchos Foundation Cultural Center, 364, Leoforos Andrea Siggrou Athens Attica Greece Data management Data submission, annotation and curation Stavros Niarchos Foundation Cultural Center  bioinformaticiansdata stewards 30 workshops_and_courses registration_of_interest data managementdata stewardshipeLearningEeLP
Introduction to Machine Learning
9 September 2019
Basel, SwitzerlandIntroduction to Machine Learning https://fpsom.github.io/IntroToMachineLearning/ https://tess.elixir-europe.org/events/introduction-to-machine-learning Machine learning has emerged as a discipline that enables computers to assist humans in making sense of large and complex data sets. With the drop-in cost of sequencing technologies, large amounts of omics data are being generated and made accessible to researchers. Analysing these complex high-volume data is not trivial and the use of classical tools cannot explore their full potential. Machine learning can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of medicine and improve health care. The aim of this tutorial is to introduce participants to the Machine learning (ML) taxonomy and common machine learning algorithms. The tutorial will cover the methods being used to analyse different omics data sets by providing a practical context through the use of basic but widely used R and Python libraries. The tutorial will comprise a number of hands on exercises and challenges, where the participants will acquire a first understanding of the standard ML processes as well as the practical skills in applying them on familiar problems and publicly available real-world data sets. 2019-09-09 09:00:00 UTC 2019-09-09 17:00:00 UTC ELIXIR-GR, H3ABioNet University of Basel Kollegienhaus Petersplatz 1 CH-4001 Basel, Basel, Switzerland University of Basel Kollegienhaus Petersplatz 1 CH-4001 Basel Basel Basel-Stadt Switzerland CH-4001  Fotis E. Psomopoulos (firstname.lastname@example.org)   30 workshops_and_courses first_come_first_served bioinformaticsmachine learning
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