Tag Archives: RapidMiner

Notes on the Forrester “Wave”

Forrester recently published the Wave™ for Predictive Analytics And Machine Learning Solutions. You can purchase a copy from Forrester for $2,495, or get a free copy here. When Forrester last delivered this analysis in 2015, they called it the Wave™ for Big Data Predictive Analytics Solutions. So, I guess that Big Data is “out” and machine learning is “in.” The chart below shows the

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The Year in Machine Learning (Part Four)

This is the fourth installment in a four-part review of 2016 in machine learning and deep learning. — Part One 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. — Part Two surveyed significant developments in Open Source machine learning projects, such as R, Python, Spark, Flink,

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Big Analytics Roundup (February 29, 2016)

Happy Leap Day.  Tachyon’s rebranding as Alluxio, release of CaffeOnSpark and GA for Google Cloud Dataproc lead the hard news this week.  The Alluxio announcement has inspired big thinkers to share big thoughts.  And, we have a nice crop of explainers.  Scroll down to the bottom for another SQL on Hadoop benchmark. Explainers — In SearchDataManagement, Jack Vaughn explains Spark

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Gartner’s 2016 MQ for Advanced Analytics Platforms

This is a revised and expanded version of a story that first appeared in the weekly roundup for February 15. Gartner publishes its 2016 Magic Quadrant for Advanced Analytics Platforms.   You can get a free copy here from RapidMiner (registration required.)  The report is a muddle that mixes up products in different categories that don’t compete with one another,

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