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Approximate Methods for Scalable Data Mining
Recorded at:

by Andrew Clegg on Aug 21, 2013 | NOTICE: The next QCon is in San Francisco Nov 3-7, Join us!
37:03

Summary
Andrew Clegg overviews methods and provides use cases for performing data sets operations like membership testing, distinct counts, and nearest-neighbour finding more efficiently.

Bio

Andrew Clegg has a PhD in computational linguistics and text mining, and has worked in life sciences, healthcare, social and online media, and publishing. Nowadays he heads up the Data Analytics & Visualization team at Pearson in London, helping companies from the Pearson, FT and Penguin groups make the most of their data. Twitter: @andrew_clegg

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