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Guerrilla Analytics,, Enda Ridge


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Цена: 5557.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Enda Ridge
Название:  Guerrilla Analytics,
ISBN: 9780128002186
Издательство: Elsevier Science
Классификация:



ISBN-10: 0128002182
Обложка/Формат: Paperback
Страницы: 224
Вес: 0.41 кг.
Дата издания: 24.09.2014
Язык: English
Размер: 230 x 163 x 15
Подзаголовок: A practical approach to working with data
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

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 teams 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 teams 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



Learning Spark: Lightning-Fast Big Data Analytics

Автор: Hamstra Mark, Zaharia Matei
Название: Learning Spark: Lightning-Fast Big Data Analytics
ISBN: 1449358624 ISBN-13(EAN): 9781449358624
Издательство: Wiley
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Цена: 5067.00 р.
Наличие на складе: Поставка под заказ.

Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

Автор: Baesens Bart, Verbeke Wouter, Van Vlasselaer Veron
Название: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
ISBN: 1119133122 ISBN-13(EAN): 9781119133124
Издательство: Wiley
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Цена: 6178.00 р.
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Описание: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution.

Data Mining and Predictive Analytics

Автор: Larose Daniel T
Название: Data Mining and Predictive Analytics
ISBN: 1118116194 ISBN-13(EAN): 9781118116197
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.

Mathematical Underpinnings of Analytics

Автор: Grindrod Peter
Название: Mathematical Underpinnings of Analytics
ISBN: 0198725094 ISBN-13(EAN): 9780198725091
Издательство: Oxford Academ
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Цена: 7522.00 р.
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Описание: A cutting edge graduate level book on the way the mathematical analytics of big data can add value and bring competitive advantage to consumer-facing industries.

Big Data Analytics,

Автор: David Loshin
Название: Big Data Analytics,
ISBN: 0124173195 ISBN-13(EAN): 9780124173194
Издательство: Elsevier Science
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Цена: 4041.00 р.
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Описание: A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information management.

Effective CRM Using Predictive Analytics

Автор: Chorianopoulos Antonios
Название: Effective CRM Using Predictive Analytics
ISBN: 1119011558 ISBN-13(EAN): 9781119011552
Издательство: Wiley
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Цена: 7278.00 р.
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Описание: A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts.

Social Media Data Mining and Analytics

Автор: Szabo Gabor, Boykin Oscar
Название: Social Media Data Mining and Analytics
ISBN: 1118824857 ISBN-13(EAN): 9781118824856
Издательство: Wiley
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Цена: 5542.00 р.
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Описание: Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr.

Data Mining and Business Analytics with R

Автор: Ledolter Johannes
Название: Data Mining and Business Analytics with R
ISBN: 111844714X ISBN-13(EAN): 9781118447147
Издательство: Wiley
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Цена: 17258.00 р.
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Описание: Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.


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