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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260829T170306Z
UID:966ce061-60b2-4297-819a-07441a0fe051
DTSTART:20200113T090000Z
DTEND:20200114T000000Z
DESCRIPTION:Machine learning has become ubiquitous in biotechnology (as in 
 many other fields)\, fueled largely by the increasing availability and amo
 unt of data. Learning algorithms can figure out how to perform important t
 asks by generalizing examples. Typical applications are diagnoses/prognose
 s\, gene/protein annotation\, drug design\, image recognition\, text minin
 g and many others. However\, building successful machine learning models r
 equires a substantial amount of “black art” that is hard to find in te
 xtbooks. This course is an interactive Jupyter Notebook (Python) that will
  teach you how to build successful machine learning models. No background 
 in machine learning is assumed\, just a keen interest.
LOCATION:iGent
SUMMARY:A tour of machine learning: classification
URL;VALUE=URI:https://training.vib.be/product/136
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