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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260614T174156Z
UID:0cdf1f71-1db9-4eec-8e96-83620a324e1e
DTSTART:20210324T090000Z
DTEND:20210324T170000Z
DESCRIPTION:Machine learning has evolved greatly over the past two decades 
 in both research and industry and is typically used for prediction tasks u
 sing classification models. This workshop is focused on how to construct a
  machine learning classifier demonstrated on an example of mRNA sequencing
  data downloaded from the Cancer Genomic Atlas (TCGA). The workshop will c
 ontain two parts:\n\n10:00 – 10:30 Theoretical introduction to of basic 
 principles in machine learning classification models: concepts\, classific
 ation\, data processing and construction of a machine learning model. This
  part will be given at beginner’s level and does not require any previou
 s knowledge.\n\n10:30 – 11:00 Demonstration of the basic principles usin
 g Python code and Jupyter notebook as a development environment. The demon
 stration will be led by the lecturer\, and therefore programming skills ar
 e helpful but not essential.\n\n
SUMMARY:Introduction to machine learning classification demonstrated on gen
 e expression data 
URL;VALUE=URI:https://weizmann.zoom.us/j/98092135036?pwd=UlFNUXVPWEVzR3dEV0
 5kQW1SeU81dz09
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