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Guerrilla analytics = a practical ap...

Ridge, Enda,

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Guerrilla analytics = a practical approach to working with data /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Guerrilla analytics/ Enda Ridge.
其他題名:	a practical approach to working with data /
作者:	Ridge, Enda,
出版者:	Amsterdam ;Morgan Kaufmann, an imprint of Elsevier, : 2015.,
面頁冊數:	1 online resource :ill.
標題:	Data mining. -
電子資源:	https://www.sciencedirect.com/science/book/9780128002186
ISBN:	9780128005033 (electronic bk.)

Guerrilla analytics = a practical approach to working with data /
Ridge, Enda,

Guerrilla analyticsa practical approach to working with data /[electronic resource] :Enda Ridge. - Amsterdam ;Morgan Kaufmann, an imprint of Elsevier,2015. - 1 online resource :ill. - The savvy manager's guide. - Savvy manager's guides..

Includes bibliographical references and index.

Project data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This book covers: guerrilla analytics principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting; reproducible, traceable analytics; practice tips and war stories based on real-world project challenges encountered in consulting, pre-sales and research; preparing for battle: how to set up a team's analytics environment in terms of tooling, skill sets, workflows and conventions; data gymnastics: over a dozen analytics patterns that a team will encounter again and again in projects. --

ISBN: 9780128005033 (electronic bk.)Subjects--Topical Terms:

562972
Data mining.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.9.D24

Dewey Class. No.: 006.3/12

Guerrilla analytics = a practical approach to working with data /
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300 $a 1 online resource : $b ill.
490 1 $a The savvy manager's guide
504 $a Includes bibliographical references and index.
520 $a Project data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This book covers: guerrilla analytics principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting; reproducible, traceable analytics; practice tips and war stories based on real-world project challenges encountered in consulting, pre-sales and research; preparing for battle: how to set up a team's analytics environment in terms of tooling, skill sets, workflows and conventions; data gymnastics: over a dozen analytics patterns that a team will encounter again and again in projects. -- $c Edited summary from book.
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