Tag Archives: Google TensorFlow

The Year in Machine Learning (Part One)

This is the first installment in a four-part review of 2016 in machine learning and deep learning. In the first post, we look back at ML/DL news organized in five high-level topic areas: Concerns about bias Interpretable models Deep learning accelerates Supercomputing goes mainstream Cloud platforms build ML/DL stacks In Part Two, we cover developments in each of the leading open

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Roundup 11/11/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. TensorFlow @ 1 A year ago, Google released TensorFlow to open source. Since then, the company has added distributed computing features, support for iOS and a managed service in the cloud. TensorFlow is now the most popular machine learning project on GitHub, and it has the largest

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Big Analytics Roundup (September 12, 2016)

On a Google blog, Kaz Sato describes how a Japanese farmer uses TensorFlow to classify cucumbers. Very good. Perhaps now Google can set TensorFlow to work figuring out how to comply with EU regulations. Good Reads Adrian Colyer returns for the Fall semester with daily papers. Superlative Reads Dez Blanchfield heaps praise on obscure blogger’s new book. HPE Holds a Fire Sale

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Big Analytics Roundup (August 29, 2016)

TechCrunch reports results of a new study, which says that you really don’t need a co-founder after all. Next, they’ll be telling us we don’t need to floss. Python and R Matt Asay argues that Python is a gateway language that leads data scientists to R. (h/t Oliver Vagner). That’s oversimplified and mostly incorrect. The breadth of R’s analytics functionality tends

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Big Analytics Roundup (July 25, 2016)

We have some more summer reading this week; plus, Splice Machine announces availability of its open source Community Edition, and Google launches two new machine learning APIs. There are so many Spark stories I’ve created a special section for them. Plus we have the usual explainers, perspectives, and news. Quant headhunter Linda Burtch repeats her survey of working analysts in her

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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 (March 28, 2016)

Microsoft’s chatbot fail wins the internet this week, but the most important story is Google’s new managed service for machine learning. Also leading the week: Mesosphere’s new funding round led by Microsoft and HPE, and more funding for Domo. — Google Cloud Platform (GCP) adds the Google Cloud Machine Learning Platform to its suite of managed machine learning services, which

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