Category Archives: News Analysis

IBM Launches “IBM Machine Learning”

It’s only March, but already IBM leads the software industry in gasbaggery. Gartner’s most recent Magic Quadrant for Data Science Platforms includes this little gem: Customers are often confused by mismatches between (IBM’s) marketing messages and actual, purchasable products. That’s a polite way to say that IBM marketing messages have enough hot air to float a fleet of balloons over the Bernese

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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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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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Bottom ML/DL Story of 2016

  Many thanks to readers who voted in the “Bottom ML/DL Story of 2016” poll. The choices were: Amazon Web Services releases DSSTNE to open source Dato rebrands as Turi IBM rebrands an existing Spark service as The Data Science experience IBM rebrands an existing SPSS service as Watson Machine Learning IBM standardizes graph analytics on Apache Tinkerpop Movidius launches

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