Tag Archives: Teradata

The Year in Machine Learning (Part Three)

This is the third installment in a four-part review of 2016 in machine learning and deep learning. In Part One, I covered Top Trends in the field, including concerns about bias, interpretability, deep learning’s explosive growth, the democratization of supercomputing, and the emergence of cloud machine learning platforms. In Part Two, I surveyed significant developments in Open Source machine learning projects, such as R, Python,

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Big Analytics Roundup (September 26, 2016)

Note to readers: Recently, I’ve noticed that news about events that occur on Tuesdays seems stale by the time I publish on Monday. Beginning this week, I’m shifting to a new publication model, posting analysis of events as they happen instead of a weekly roundup. You could say I’m switching from batch updates to real-time updates, which should please Nathan Marz.

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Big Analytics Roundup (September 19, 2016)

Many thanks to Australia’s Dez Blanchfield for his contributions to this roundup. We set out to create a special “Australia/APAC” edition; however, most of the stories have a global interest: chips are chips and deep learning is deep learning wherever you live. We did find this story, profiling a Tasmanian oyster farm that uses Microsoft’s IoT hub. Well, that’s embarrassing. MapR’s

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Disruption: It’s All About the Business Model

This post is an excerpt adapted from my book, Disruptive Analytics, available soon from Apress and Amazon. (Note: under my contract with Apress I am legally obligated to link to their site, but it’s not yet possible to order the book there. Use the Amazon link if you want the book.) The analytics business is booming. Technology consultant IDC estimates total

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Big Analytics Roundup (August 8, 2016)

So, Apple acquires Turi for $200 million. Hopefully, Apple did not pay for brand equity. Bridget Botelho argues that businesses must either disrupt or be disrupted, and outlines the role of machine learning. Someone should write a book about that. Conference Announcements — Flink Forward announces the schedule for its second annual event, to be held September 12-14 in Berlin. —

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Big Analytics Roundup (July 25, 2016)

We have some more summer reading this week; plus, Splice Machine announces availability of its open source Community Edition, and Google launches two new machine learning APIs. There are so many Spark stories I’ve created a special section for them. Plus we have the usual explainers, perspectives, and news. Quant headhunter Linda Burtch repeats her survey of working analysts in her

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