Guerrilla analytics a practical approach to working with data
Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is o...
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Format: | Electronic Resource |
Language: | English |
Published: |
Amsterdam
Morgan Kaufmann
[2014]
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Subjects: | |
Online Access: | Available for University of the Philippines System via ScienceDirect. Click here to access Also available remotely for University of the Philippines System via ScienceDirect. Click here to access thru EZproxy |