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Daniel Whitenack

Daniel WhitenackDaniel Whitenack (@dwhitena), PhD, is a trained data scientist working with Pachyderm (@pachydermIO). Daniel develops innovative, distributed data pipelines that include predictive models, data visualizations, statistical analyses, and more. He has soken at conferences around the world (GopherCon, JuliaCon, PyCon, ODSC, Spark Summit, and more), teaches data science/engineering at Purdue University (@LifeAtPurdue), and, with Ardan Labs (@ardanlabs), maintains the Go kernel for Jupyter, and is actively helping to organize contributions to various open source data science projects. Read More Read Less

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1.
Machine Learning With Go
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AED152
Binding:
Paperback
Release:
30 Apr 2019
Language:
English
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2.
Machine Learning With Go
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AED123
Binding:
Digital (delivered electronically)
Release:
30 Apr 2019
Language:
English
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3.
Machine Learning With Go
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AED161
Binding:
Digital (delivered electronically)
Release:
26 Sep 2017
Language:
English
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