Guerrilla analytics a practical approach to working with data / [electronic resource] :
- 作者： Ridge, Enda, author.
- 其他題名：
- Savvy manager's guides.
- 出版： Amsterdam ;Boston : Morgan Kaufmann, an imprint of Elsevier
- 叢書名： The savvy manager's guide
- 主題： Data mining. , Electronic books.
- ISBN： 9780128005033 (electronic bk.) 、 0128005033 (electronic bk.) 、 9781322158488 (electronic bk.) 、 1322158487 (electronic bk.) 、 9780128002186 、 0128002182
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Includes bibliographical references and index.
- 摘要註: 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. --
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讀者標籤：
- 系統號： 005485832 | 機讀編目格式
館藏資訊
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 Guerrilla Analytics. In this book, you will learn about: The 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: how to design and implement work products that are reproducible, testable and stand up to external scrutiny. Practice tips and war stories: 90 practice tips and 16 war stories based on real-world project challenges encountered in consulting, pre-sales and research. Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions. Data gymnastics: over a dozen analytics patterns that your team will encounter again and again in projects - The 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: how to design and implement work products that are reproducible, testable and stand up to external scrutiny - Practice tips and war stories: 90 practice tips and 16 war stories based on real-world project challenges encountered in consulting, pre-sales and research - Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions - Data gymnastics: over a dozen analytics patterns that your team will encounter again and again in projects