Tag Archives: Pivotal

Machine Learning Roundup: 10/6/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours, plus a few older items. Good Reads Gale Morrison’s survey of neural computing in Semiconductor Engineering is an absolute must read. She summarizes intellectual and technical developments in the field, market drivers and briefly discusses what works. Companies mentioned: Amazon, Baidu, Google, Huawei, Intel, Nervana, NVIDIA, and

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Big Analytics Roundup (April 18, 2016)

In hard news this week, Storm hits a milestone with Release 1.0, Google releases TensorFlow 0.8 with distributed computing support, and DataStax announces DataStax Enterprise Graph. And, following on NVIDIA’s DGX-1 announcement last week there are a number of items on Deep Learning featured below. Deep Learning — Adrian Colyer summarizes a paper that summarizes 900 other papers on Deep Learning. —

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Big Analytics Roundup (July 27, 2015)

Top stories this week:  Palantir’s valuation grows, Continuum Analytics gets a bump, Cloudera announces a Python interface for Impala, and we have a winner in KDD Cup 2015. Nate Desmond chronicles Palantir‘s $15 Billion growth story just as the company hits $20 Billion. Conversion Logic wins the KDD Cup 2015, which L.A. Biz characterizes as the “Nerd Olympics”. Here’s a picture

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Big Analytics Roundup (May 11, 2015)

Lots of news this week, to compensate for last week’s lame haul. In an excellent post on O’Reilly Radar, Ben Lorica surveys the landscape of workbooks, notebooks and workflow tools, which he categorizes by user persona. On GitHub, a collection of links for streaming analytics (h/t O’Reilly Data). In a “twofer”, VentureBeat plugs its GrowthBeat Summit and a report on

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Big Analytics Roundup (April 20, 2015)

Top news this week: a couple of Spark maintenance releases, some interesting new Apache projects, an announcement from Hortonworks and some interesting content from Databricks and Teradata. Also in the news this week, North Bridge and Black Duck Software release their ninth annual Future of Open Source survey.  Meanwhile, Hortonworks, IBM and Pivotal announce ODP harmonization, round up endorsements from

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Apache Spark for Big Analytics (Updated for Spark Summit and Release 1.0.1)

Updated and bumped July 10, 2014. For a powerpoint version on Slideshare, go here. Introduction Apache Spark is an open source distributed computing framework for advanced analytics in Hadoop.  Originally developed as a research project at UC Berkeley’s AMPLab, the project achieved incubator status in Apache in June 2013 and top-level status in February 2014.  According to one analyst, Apache Spark is among the five

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