Tag Archives: Kaggle

Machine Learning Roundup 10/11/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Note to readers: Big Analytics will rebrand as ML/DL soon. Good Reads Another great read from Nicole Hemsoth, this time on new developments in memory. Adrian Colyer summarizes a paper from the Google DeepMind team on a framework for deep reinforcement learning with asynchronous gradient descent algorithms. The

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Big Analytics Roundup (September 6, 2016)

Jim Kyung-Soo Liew and Tamas Budavari of Johns Hopkins ask whether Tweet sentiments still predict the stock market. Short Version: they do, but the market has arbitraged away any advantage from trading on the information. So there you have it: the stock market is efficient with respect to fundamental information, technical information, and Tweets. Enterra’s Stephen DeAngelis celebrates the “Algorithmic

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Big Analytics Roundup (August 17, 2015)

Catching up from vacation last week.  Top stories: results of a SQL-on-Hadoop evaluation at Pearson; Google launches Dataflow (giving Flink a boost); while IBM shoehorns Spark onto a mainframe, Vertica gets the jump on IBM PureData with native Spark integration. Kaggle announces two new competitions: Springleaf Financial, an Indiana credit union founded in 1920, has rebranded to target millenials. They

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Big Analytics Roundup (July 6, 2015)

If you’re wondering about the picture, it’s a 1958 Edsel Roundup. In an O’Reilly video, mad scientist Paco Nathan introduces advanced math for business people. The team at startup.ml launches a newsfeed called Deep Learning News, which aggregates blog posts, articles and other related content.  VentureBeat writes it up. In an excellent roundup on LinkedIn Pulse, PayPal’s Anil Madan captures 100

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