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Big Data

Big Data

A Very Short Introduction

by Dawn E. Holmes

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appears in Big Data.

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Data Science for Business
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Not sure if this is the right fit?

Consider Data Science for Business by Foster Provost. Recommended by 1 sources.

Data Science for Business reads like a careful, concept-first introduction to using data in managerial decisions. It lays out the probabilistic thinking behind common algorithms and ties analytic choices to business questions, with worked examples and case fragments. The most useful part is the emphasis on when an analytic approach produces business value versus when it only moves metrics. Limitation: it rarely serves as a code-first how-to, and some chapters linger on formal descriptions that slow the pace.

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