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Saturday, November 21 • 12:25pm - 12:45pm
Slice: A Human Touch in Machine Learning

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Often machine learning engines are designed to require little human input.  However, while machines are fast, scalable, and reliable, selectively leveraging human input can be an excellent resource to provide continuous feedback and improvement.  This is especially important given the inevitable changes in input data and the long tail of edge cases, which are traditionally difficult for machine learning engines.


This talk discusses how we built a product categorization engine at Slice that involves different types of human workers - engineers, analysts, outsourced and crowdsourced workers - to allow for continuous improvement with limited resources.

Video Recording: 
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avatar for Conal Sathi

Conal Sathi

Data Alchemist, Slice Technologies
Conal Sathi is the Data Alchemist at Slice Technologies, where he is responsible for using machine learning and data mining algorithms to bring structure and deeper insights to consumer purchase data.  At Slice, he was hired as the first machine learning engineer, where he built... Read More →

Saturday November 21, 2015 12:25pm - 12:45pm JST
4th Floor : Track B Asakai B

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