Tag Archives: DataRobot

ML/AI Vendor Roundup: September 2018

Product enhancements, customer references, partnerships, acquisitions, or other significant contributions to machine learning. In general industry news, Forrester releases 2018 “Wave” reports for data science and machine learning. Positive implications for SAS, IBM, RapidMiner, Oracle, and Domino Data Labs. Negative implications for Microsoft, Dataiku, Anaconda, and Google Cloud Platform. Full story here. Vendors listed below in alphabetical order. Dataiku Dataiku

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ML/AI Vendor Roundup: August 2018

Product enhancements, customer references, partnerships, acquisitions, financials, or other significant news for ML/AI vendors in August 2018. Alteryx Announces general availability for Release 2018.3. Key new bits: interactive visualization; enhanced Spark integration; a Jupyter notebook for Python scripting. Andrew Brust opines. Releases Q2 financials, revealing 54% YOY topline growth. Amazon Web Services Adds support for custom attributes to SageMaker model

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More Notes on SAS

Last week’s post on SAS provoked numerous comments on this blog, and over on Hacker News. Here are some excerpts. I’ve edited for length and grammar. Feel free to read the originals. SAS employee Scott Mongeau writes: Journeying through the vast graveyard of open source vanity projects I come in on as a mop-up-agent on in any given month, one

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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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Roundup 11/2/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff. The Next Platform publishes my three-part series on the state of enterprise machine learning. Part one is here. Part two is here. Part three is here. In an interview published on Forbes, SAS CEO Jim Goodnight notes that Viya, SAS’ new architecture, is the company’s

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Machine Learning Roundup (September 29, 2016)

Machine learning (ML) and deep learning (DL) content from the past 24 hours. ICYMI. Issues On the Electronic Frontier Foundation’s Deeplinks blog, Gennie Gebhart and Erica Portnoy ponder privacy issues raised by facial recognition technology.In Fortune, Jeff John Roberts enumerates what companies get wrong about ML. Also in Fortune, Roger Parloff explains why DL is suddenly changing your life. Opinions

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