Tag Archives: Huawei

Machine Learning Roundup: 10/6/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours, plus a few older items. Good Reads Gale Morrison’s survey of neural computing in Semiconductor Engineering is an absolute must read. She summarizes intellectual and technical developments in the field, market drivers and briefly discusses what works. Companies mentioned: Amazon, Baidu, Google, Huawei, Intel, Nervana, NVIDIA, and

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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 (November 23, 2015)

Eleven stories this week, including a new Flink release, new developments for Splice Machine, and a very big Spark HPC cluster in Warsaw. InfoWorld publishes a well-written practical guide to Deep Learning. Here are a couple of interesting articles on Spark: MapR’s Jim Scott offers a nice overview of Spark RDDs. Ian Pointer summarizes five things he hates about Spark.

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