Gradient Flow’s analysis of data, technology, and business, with a focus on machine learning and AI — one of the Top 10 Sites for Data Scientists.
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MLbase: Scalable Machine-learning made accessible
[Cross-posted on the O’Reilly Strata blog.] In the course of applying machine-learning against large data sets, data scientists face a few pain points. They need to tune and compare several…
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2012 Revenue of some Big Data companies
The chart below is from Wikibon’s estimates1 of the 2012 revenue of some Big Data companies. Using d3 I drew a chart that shows 2012 revenue in millions, as well…
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Mining Time-series with Trillions of Points: Dynamic Time Warping at scale
Take a similarity measure that’s already well-known to researchers who work with time-series, and devise an algorithm to compute it efficiently at scale. Suddenly intractable problems become tractable, and Big…
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Seven Reasons I like Spark
[This post originally appeared on the O’Reilly Radar .] A large portion of this week’s Amp Camp at UC Berkeley, is devoted to an introduction to Spark – an open…
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What every aspiring Investment Banker should know about Wall Street
[A version of this post also appears on the Quant Network.] When my friend Steve Hsu linked to a review of Karen Ho’s recent book (Liquidated: An Ethnography of Wall Street), I was…
