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Alex Lin
Lived in New York City
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Alex Lin
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TODAY at 10am PST: Get started running #ApacheSpark on #ApacheMesos w/@OReillyMedia author @pacoid http://goo.gl/vnAaZC
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Help Michael Nielsen make it with this interesting book project, (indiegogo campaign).
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Simple real-time large-scale machine learning infrastructure. https://github.com/cloudera/oryx
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Alex Lin
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"Introducing “Business Source”: The Future of Corporate Open Source Licensing?"
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Alex Lin
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Alex Lin
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I am in Washington today to announce a large initiative involving NYU, the University of Washington and UC Berkeley.
The 5 year initiative is funded by a $37.8M grant from the Sloan Foundation and the Moore Foundation.

I am the lead faculty for NYU. My counterpart at UW is +Ed Lazowska and at Berkeley +Saul Perlmutter.

The initiative is called the Moore/Sloan Data Science Environments. It seeks to jump-start 'data-intensive science and discovery'.

And we are hiring: faculty, data science postdoctoral fellows, and data science tool builders.

NYTimes: Program Seeks to Nurture ‘Data Science Culture’ at Universities
http://nyti.ms/1ckszfM

Update: article at the Huffington Post: http://www.huffingtonpost.com/vicki-chandler/a-bold-experiment-to-tack_b_4255809.html

Moore Foundation press release: http://www.moore.org/programs/science/data-driven-discovery/data-science-environments

Sloan Foundation press release: http://www.sloan.org/fileadmin/media/files/press_releases/datascience.pdf


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Alex Lin
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Awesome (plain english) explanation of Fourier transforms: http://bit.ly/1b8k7SA - aka, the magic behind audio compression, plus a very large number of other applications.
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Alex Lin
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MOA is an open source framework for data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection and recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems http://moa.cms.waikato.ac.nz/
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a data geek with the wildest dreams
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