Tag Archives: Theano

The Year in Machine Learning (Part Two)

This is the second installment in a four-part review of 2016 in machine learning and deep learning. Part One, here, covered general trends. In Part Two, we review the year in open source machine learning and deep learning projects. Parts Three and Four will cover commercial machine learning and deep learning software and services. There are thousands of open source projects

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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 (February 1, 2016)

There are three hard news stories this week: MSFT releases its toolkit for deep learning, MSFT releases its hybrid cloud platform, and the Zeppelin team releases its latest version.  So MSFT wins the internet. In Computerworld, Doug Cutting celebrates Hadoop’s tenth birthday. InfoWorld distributes its 2016 Technology of the Year awards.  Among the 32 awards: Docker, Kubernetes, Apache Mesos, Apache Ambari, Apache Kafka, Amazon Aurora, Apache Spark,

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Big Analytics Roundup (December 7, 2015)

Cloudera’s expanded Spark support leads the news this week, together with a Data Science Virtual Machine from Microsoft.  Neural network devotees will be pleased to see that Keras now runs on TensorFlow. On the Databricks blog, H2O.ai’s Michal Malohlava describes Sparking Water, a Spark package that enables data scientists to build machine learning pipelines that integrate Spark and H2O functions.

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