Tag Archives: HPE

The Year in Machine Learning (Part Three)

This is the third installment in a four-part review of 2016 in machine learning and deep learning. In Part One, I covered Top Trends in the field, including concerns about bias, interpretability, deep learning’s explosive growth, the democratization of supercomputing, and the emergence of cloud machine learning platforms. In Part Two, I surveyed significant developments in Open Source machine learning projects, such as R, Python,

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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 (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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