Revolution R Enterprise vs. SAS Performance Benchmark

RRE vs. SAS Benchmark Results

The debate over which statistical platform sits premiere over the others for data science applications rages on. The discussion often turns to the popular R and SAS environments. But to focus the dialog on performance only, a new benchmark study was just completed by commercial R provider Revolution Analytics.

Big Data Survey Finds 75% of Businesses Yet to Reach Production

Seventy-five percent of businesses have yet to successfully deploy big data analytics solutions to gain business-impacting insights, despite 65 percent increasing their investment in analytic services and technologies in 2014. These findings are part of “Analytics 2014,” Lavastorm’s second annual survey on analytic usage, trends, and future initiatives.

Interview: Survey from Dell Discovers Need for Big Data in Midmarket Companies

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Big Data has mostly been considered the realm of big enterprise and not the midmarket segment. Dell launched a survey to study this notion and discovered that midmarket companies not only need Big Data to engender better, more competitive business practices, but many are already using data analysis. We caught up with Darin Bartik, Executive Director and GM of Database Management at Dell, to learn more about the survey and its findings.

insideBIGDATA Guide to Machine Learning

inisde big data guide to machine learning

As the primary facilitator of data science and big data, machine learning has garnered much interest by a broad range of industries as a way to increase value of enterprise data assets. In this article series we’ll examine the principles underlying machine learning based on the R statistical environment.

Machine Learning Identifies Fake Research Papers

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Unsupervised machine learning techniques have proven useful in identifying fake research papers submitted to the arXiv preprint server. Approximately 500 preprints are receiving daily by the automated repository arXiv, but are not pre-screened by humans. As a result, many nonsense papers generated by software such as SCIgen and Mathgen have been found in the most popular repository used by scientists to share research results.

Big Workflow – Beyond Intelligent Workflow Management

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Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. A new white paper that focuses on these issues is available here on insideBIGDATA.

Data Science 101: Deep Learning Methods and Applications

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Microsoft Research, the research arm of the software giant, is a hotbed of data science and machine learning research. Microsoft has the resources to hire the best and brightest researchers from around the globe. A recent publication is available for download (PDF): “Deep Learning: Methods and Applications” by Li Deng and Dong Yu, two prominent researchers in the field.

LA Times Data Desk

LATimesDataDesk

As an attempt to remain relevant in an increasingly data-driven world, many traditional news publications are embracing the sweeping changes in their industry by employing a broad swath of new technologies. Here is a good case in point: The Los Angeles Times Data Desk, offering content such as maps, databases, analysis, and visualizations.

Data Science 101: 250 Years of Bayes Theory

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It’s been more than 250 years since the appearance of Bayes theorem (named after English statistician, philosopher and Presbyterian minister Thomas Bayes: 1701-1761), one of the two fundamental inferential principles of mathematical statistics.

Gartner Reveals Magic Quadrant for Advanced Analytics

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The analytics software category is 30 years old and about $15 billion in size. So why is it that information technology research and advisory firm Gartner has not published a standalone Magic Quadrant on the sector until this year? The answer: Gartner has meshed business intelligence with analytics for the past decade, and viewed them […]