Tag Archives: Paxata

Roundup 10/25/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff. In TechCrunch, John Mannes asks: WTF is machine learning? 1,342 words later, he still doesn’t know. Methods and Techniques — Researchers from Google Brain, Penn State, and OpenAI describe a method for semisupervised knowledge transfer from a “teaching” model to a “student” model. The

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Big Analytics Roundup (June 22, 2015)

Last week’s Spark Summit is the big news driver for this roundup: On the Databricks blog, Scott Walent recaps the summit here Anmol Rajpurohit writes KDnuggets’ play-by-play for Day One and Day Two My preliminary report is here; full report when slides are available from the sessions. Spark will be one of several technologies featured at the inaugural In-Memory Computing

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Big Analytics Roundup (March 9, 2015)

Here’s a roundup of interesting Big Analytics news and analysis from the past week.  Featured this week: Hortonworks, Alpine, Spark and H2O. Hortonworks Matt Asay, writing in InfoWorld, deconstructs Hortonworks’ earnings fiasco, and with it the “100% open source” business model. Alpine Data Labs VentureBeat reports a story that Alpine Data Labs claims 10X growth in user count and billings year over year.

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