Tag Archives: DGX-1

Machine Learning Roundup: 10/5/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours, plus a few older items. Top stories today: open standards for neural networks; continuing coverage of Australia’s investment in deep learning supercomputers; individual sections on Health Tech and Factory Automation, plus some top-rated books (other than mine.) As always, Adrian Colyer provides the top read of the

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Machine Learning Roundup (October 4, 2016)

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Scroll to the bottom for job postings. In ValueWalk, Mark Melin reports on Deutsche Bank‘s deep dive into machine learning for investing. Just in time for the bailout. Events Thursday, October 6: LinkedIn’s Sunnyvale CA hosts BayLearn, an annual gathering of ML researchers and practitioners. NVIDIApalooza Dave Neal

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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 (April 11, 2016)

Top story of the week is NVIDIA’s new DGX-1 deep learning chip; scroll down for more on that. We have three roundups from Strata + Hadoop World, Rashomon style: Alex Woodie reports six takeaways: Kafka, Spark, Hadoop, Cloud, machine learning, mainframes. Jessica Davis recalls four things: comedian Paula Poundstone, MapR, public data sets, AI. Nik Rouda recaps five things: Spark, machine learning,

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