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SUMMARY:An Introduction to Dataset Bias - Daniela Massiceti\, Microsoft Re
 search
DTSTART:20211122T173000Z
DTEND:20211122T183000Z
UID:TALK166375@talks.cam.ac.uk
CONTACT:96442
DESCRIPTION:Large datasets are a fundamental part of current machine learn
 ing (ML) pipelines\, however\, biases often find their way into these data
 sets and can have serious consequences if left unaddressed. This talk will
  dive right in with an introduction to dataset bias and types of bias that
  are commonly encountered in ML systems. Next\, we'll unpick some examples
  of what can happen when it's left unaddressed\, and finally we'll look at
  an overview of approaches that can be used to tackle it. Join in to learn
  more about dataset bias and building robust and equitable ML systems.\n\n
 Please sign up here to receive the zoom link: forms.gle/3eM1mtfNVeSCC7BN8
LOCATION:Zoom
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