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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: 
https://youtu.be/tOsxjnZu9tM?list=PLNVIqXmk6x8yxm3uM_Mw062imX76q_t2s
Unfortunately, this video has noises and intruptions.


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Speakers
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 algorithms to classify receipts within a mailbox, extract information from the receipts and categorize the products purchased.  Now he leads a team of stellar... Read More →


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