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  • Autumn School in Data Science: Machine learning applications for life sciences

    23 - 26 September 2019

    Cambridge, United Kingdom

    Elixir node event
    Autumn School in Data Science: Machine learning applications for life sciences https://tess.elixir-europe.org/events/summer-school-in-biomedical-data-science-best-practices-for-single-cell-analysis-and-machine-learning-applications This Autumn School aims to familiarise biomedical students and researchers with principles of Data Science. Focusing on utilising machine learning algorithms to handle biomedical data, it will cover: effects of experimental design, data readiness, pipeline implementations, machine learning in Python, and related statistics, as well as Gaussian Process models. Providing practical experience in the implementation of machine learning methods relevant to biomedical applications, including Gaussian processes, we will illustrate best practices that should be adopted in order to enable reproducibility in any data science application. This event is sponsored by [Cambridge Big Data](https://www.bigdata.cam.ac.uk/). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=3050610&amp;course-title=Autumnr%20School%20in%20Data%20Science).'' 2019-09-23 12:00:00 UTC 2019-09-26 14:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Bioinformatics University of Cambridge Bioinformatics Training [] Students and researchers from life-sciences or biomedical backgroundswho haveor will shortly havethe need to apply the techniques presented during the course to biomedical data.Students and researchers from engineering or computer science backgroundwho are already working with life-science problemsThe course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee.<span style="color:#0000FF"> Non-members of the University of Cambridge to pay £350 </span style><span style="color:#0000FF">All Members of the University of Cambridge to pay £175 </span style><span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style> workshops_and_courses [] HDRUK
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