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OpenML: Open, Networked Machine Learning

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OpenML: Open, Networked Machine Learning
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4
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production PlaceEindhoven, The Netherlands

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Abstract
Today, the ubiquity of the internet is allowing new, more scalable forms of scientific collaboration. Networked science uses online tools to share and organize data on a global scale so that scientists are able to build directly on each other's data and techniques, reuse them in unforeseen ways, and mine all data to search for patterns. OpenML.org is a place where researchers can easily share and reuse machine learning data sets, tools and experiments. It helps researchers win time by automating machine learning experiments as much as possible, and gain more credit for their work by making it more visible and easily reusable. Moreover, OpenML helps scientists and students to explore different machine learning techniques, find out which are most useful in their work, and collaborate with others to analyze scientific data online.
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