Ditemukan 1 dokumen yang sesuai dengan query
Ridge, Enda
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ABSTRACT
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 often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This is when you need ...
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Boston: Elsevier, 2015
006.312 RID g
Buku Teks SO Universitas Indonesia Library
