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Guerrilla analytics : techniques for managing data and analytics teams /

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 a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ridge, Enda (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Morgan Kaufmann, an imprint of Elsevier, [2015]
Colección:Savvy manager's guides.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Ridge, Enda,  |e author. 
245 1 0 |a Guerrilla analytics :  |b techniques for managing data and analytics teams /  |c Enda Ridge. 
260 |a Amsterdam ;  |a Boston :  |b Morgan Kaufmann, an imprint of Elsevier,  |c [2015] 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a The savvy manager's guide 
588 0 |a Online resource; title from PDF title page (Ebsco, viewed October 14, 2014). 
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. 
650 0 |a Data mining. 
650 2 |a Data Mining  |0 (DNLM)D057225 
650 6 |a Exploration de donn�ees (Informatique)  |0 (CaQQLa)201-0300292 
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830 0 |a Savvy manager's guides. 
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