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Quantum Machine Learning

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Ever wonder what will happen when exabyte data stores are the norm, and even the parallelism of Hadoop can no longer provide the necessary processing power to address the data deluge? Quantum computing may hold the answer.

Netflix Reveals All (well, at least a lot)

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Last night I had the distinct pleasure of attending a Data Science Track event sponsored by the LA Machine Learning meetup group: Data Science @ Netflix.

Experfy Launches Data Science Marketplace

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Experfy, based at the Harvard Innovation Lab, announced that it has launched a paradigm-changing, online marketplace that will allow industry leaders to solve their Big Data talent needs. Enterprises now have a central platform for on-demand hiring of vetted experts with algorithmic skills and domain knowledge, primarily for short-term projects related to data, analytics and business intelligence.

Intel Ditches Hadoop Distribution, Partners with Cloudera

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Intel Corporation and Cloudera today announced a broad strategic technology and business collaboration, as well as a significant equity investment from Intel making it Cloudera’s largest strategic shareholder and a member of its board of directors. This is Intel’s single largest data center technology investment in its history.

Big Data vs. Small Data – Is there a Difference?

I’ve been monitoring an interesting discussion on the Big Data and Analytics group over on LinkedIn – “Is there a difference between big data and small data?” It is an interesting question, one that I’ve heard before during my travels down in the trenches as I explore our industry.

The Death of Data Science has been Greatly Exaggerated

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I’ve been finding it fascinating to watch on as data scientists discuss the death of data science. It all started with a rather sensationalized post over at Slashdot: “Data Science is Dead” by Miko Matsumura, Vice President at Hazelcast.

Big Data or Big Bubble?

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I think most would agree that the Big Data industry is witnessing an accelerated hype cycle that feels all too familiar. Remember 2000? I sure do. That was the year my bubble burst.

Revolution Analytics and AWS Join Forces

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Amazon Web Services (AWS) now offers a hosted version copy of Revolution R Enterprise 7, providing an easy way for individuals and organizations to start and test their big-data-styled analysis projects.

The SAS versus R Debate

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The question posed was simple enough. At the time I didn’t think such a firestorm would result. Here’s the original post from August 2011 with the subject “SAS versus R”

Becoming a Data Scientist – What Does it Take?

I’ve been monitoring a curious and lively discussion over on LinkedIn – “Is it necessary to have a Masters Degree to become a data scientist?” The comments I’ve seen have exhibited a number of points of view on the matter that I think are reflective of the questions on many people’s minds – both those wanting to become a data scientist and those wanting to hire a data scientist.