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Tuesday, August 13 • 5:00pm - 6:30pm
IPE Panel Discussion: Death of the Expert? The Rise of Algorithms and Decline of Domain Experts

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Title: Death of the expert? The rise of algorithms and decline of domain experts Abstract: Machine learning algorithms used to require features to be carefully hand created and filtered. The algorithms of yesteryear needed us to tell them about interactions, non-linearities, non-normal distributions, etc etc and if we added too many features to the model, we would over-fit and end up with something that was useless in practice. That meant that domain experts were vital in manipulating and filtering the data to create just the right set of inputs. But now that we have deep learning nets, ensembles of decision trees, and so forth, features are created automatically, and over-fitting is avoided even with huge numbers of features. Furthermore, these general purpose algorithms have proven their worth in everything from video object tracking to speech recognition to automated drug discovery to natural language processing. So where does that leave the role of the domain expert? In this panel, we will discuss and debate where domain experts fit in to this new world of general purpose machine learning algorithms. Moderator: Jeremy Howard, Kaggle Panelists: Oren Etzioni, University of Washington John Akred, Idibon Robert Munro, Silicon Valley Data Science

Tuesday August 13, 2013 5:00pm - 6:30pm CDT

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