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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T235331Z
UID:6b53a969-9594-4f11-b23b-e2f45ea5eb3e
DTSTART:20200917T090000Z
DTEND:20200922T123000Z
DESCRIPTION:THIS EVENT IS NOW FULLY BOOKED!\n\nPLEASE NOTE The Bioinformati
 cs Team are presently teaching as many courses live online\, with tutors a
 vailable to help you work through the course material on a personal copy o
 f the course environment. We aim to simulate the classroom experience as c
 losely as possible\, with opportunities for one-to-one discussion with tut
 ors and a focus on interactivity throughout. \n\nThis School aims to famil
 iarise biomedical students and researchers with principles of Data Science
 . Focusing on utilising machine learning algorithms to handle biomedical d
 ata\, it will cover: effects of experimental design\, data readiness\, pip
 eline implementations\, machine learning in Python\, and related statistic
 s\, as well as Gaussian Process models. \n\nProviding practical experience
  in the implementation of machine learning methods relevant to biomedical 
 applications\, including Gaussian processes\, we will illustrate best prac
 tices that should be adopted in order to enable reproducibility in any dat
 a science application.\n\nThis event is sponsored by [Cambridge Centre for
  Data-Driven Discovery (C2D3)](https://www.bigdata.cam.ac.uk/).\n\nPlease 
 note that if you are not eligible for a University of Cambridge [Raven](ht
 tp://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.a
 c.uk/booking-form/?event-id=3357195&amp\;course-title=Data%20Science%20Sch
 ool).''
LOCATION:Craik-Marshall Building
SUMMARY:Data Science School: Machine learning applications for life science
 s (Online)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/3357195
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