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Analytic Startups: Skytree

Skytree started out as an academic machine learning project developed at Georgia Tech’s Fastlab.  Leadership shopped the software to a number of software vendors prior to 2011 and, finding no buyers,...

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Machine Learning in Hadoop: Part One

Much has changed since I last blogged on this subject a year ago (here and here).  This is the first of a three-part blog covering the current state of play for machine learning in Hadoop.  I use the...

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Analytic User Personas

Analytic users are not all the same; in most organizations, there are a number of different user “personalities”, or personas, with distinct needs.  If you develop an analytics architecture for your...

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Distributed Analytics: A Primer

Can we leverage distributed computing for machine learning and predictive analytics? The question keeps surfacing in different contexts, so I thought I’d take a few minutes to write an overview of the...

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Forrester “Wave” for Predictive Analytics

Last week, Forrester published its 2015 “Wave” report for Big Data Predictive Analytics Solutions.  You can pay $2,495 and buy it directly from Forrester (here), or you can get the same report for free...

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How Important is Model Accuracy?

Go to a trade show for predictive analytics and listen to the presentations; most will focus on building more accurate predictive models.  Presenters will differ on how this should be done: some will...

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Book Review: Antifragile

There is a (possibly apocryphal) story about space scientist James Van Allen.  A reporter asked why the public should care about Van Allen belts, which are layers of particles held in place by Earth’s...

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Notes from Strata 2013

Last week I attended the O’Reilly Strata 2013 Conference.    Here are some notes on presentations pertinent to analytics, in four categories: Vendors Users Technical Thought Provokers Vendor...

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