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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T215653Z
UID:572e8322-36d8-4997-aa3e-efab99cc0237
DTSTART:20190923T103000Z
DTEND:20190926T140000Z
DESCRIPTION:THIS EVENT IS NOW FULLY BOOKED!\n\nThis Autumn School aims to f
 amiliarise biomedical students and researchers with principles of Data Sci
 ence. Focusing on utilising machine learning algorithms to handle biomedic
 al data\, it will cover: effects of experimental design\, data readiness\,
  pipeline implementations\, machine learning in Python\, and related stati
 stics\, as well as Gaussian Process models. \n\nProviding practical experi
 ence in the implementation of machine learning methods relevant to biomedi
 cal applications\, including Gaussian processes\, we will illustrate best 
 practices that should be adopted in order to enable reproducibility in any
  data science application.\n\nThis event is sponsored by [Cambridge Big Da
 ta](https://www.bigdata.cam.ac.uk/).\n\nThe training room is located on th
 e first floor and there is currently no wheelchair or level access availab
 le to this level.\n\nPlease note that if you are not eligible for a Univer
 sity of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) acco
 unt you will need to book or register your interest by linking [here](http
 ://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3050610&amp\;cours
 e-title=Autumn%20School%20in%20Data%20Science).''
LOCATION:Craik-Marshall Building
SUMMARY:Autumn School in Data Science: Machine learning applications for li
 fe sciences
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/3050610
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