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Skytree Uses Machine Learning To Crunch Big Data

Skytree is a machine learning program intended to serve as a replacement for SQL databases, and has the ability to take even unstructured sets of data and crunch it faster than traditional methods. The company claims that its learning algorithms can be used to process data for a wide variety of applications, from predicting the effectiveness of sales promotions to fraud detection to molecular modeling to astronomy. Which is no surprise, as algorithms to predict certain types of data are often easily portable to other types of data. The era of big data has shown that just throwing hardware at the problem is no longer working, said Martin Hack, co-founder and CEO of Skytree in the companys press release.

Author: Publication Date: Crawl Date: Source: Topic: Contributor: Type: Language: Format:
February 23, 2012 February 26, 2012 Forbes via Google News Applications MachineLearning NewsFinder Text English HTML

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Page last modified on February 27, 2012, at 12:00 AM