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About: streamDM is a new open source data mining and machine learning library, designed on top of Spark Streaming, an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of data streams. Changes:Initial Announcement on mloss.org.
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Projects authored by guangjian tian.
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- MLOSS workshop at ICML 2015: Open Ecosystems
by Antti Honkela on March 30, 2015
- A third of the top 100 papers are about software
by Cheng Soon Ong on October 30, 2014
- Open Machine Learning Workshop
by Cheng Soon Ong on July 28, 2014
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by Cheng Soon Ong on July 22, 2014
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by Cheng Soon Ong on June 3, 2014
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by Cheng Soon Ong on March 30, 2014
- Keynotes at ACML 2013
by Cheng Soon Ong on November 14, 2013
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by Mark Reid on September 1, 2013
- Code review for science
by Cheng Soon Ong on August 14, 2013
- GSoC 2013
by Cheng Soon Ong on April 9, 2013
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