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What Machine Learning can do for you (and what it cannot)

Machine Learning has already started to show its potential and will continue to grow in importance, while at the same time, it is often oversold as its pitfalls and costs are not sufficiently emphasised.

This talk will attempt to find a balance between these two impulses. In particular, after a brief overview of machine learning modes, Luis will look at topics such as:

-How good UX design can amplify or mitigate the failures of the ML
component of the system
-How expectation management is important (why do we accept the need to train people, but not computers?)
-Why domain knowledge is almost always necessary, but it's rarely
sufficient
-Why there will still be a need for data scientists in 20 years (rather
than they, themselves, also being "automated away" by machine learning)
Recorded May 19 2015 46 mins
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Presented by
Luis Pedro Coelho, Postdoctoral Researcher at European Molecular Biology Laboratory
Presentation preview: What Machine Learning can do for you (and what it cannot)

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  • Title: What Machine Learning can do for you (and what it cannot)
  • Live at: May 19 2015 1:00 pm
  • Presented by: Luis Pedro Coelho, Postdoctoral Researcher at European Molecular Biology Laboratory
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