Big Data Analytics Methods (132 results)

Language: English
Published by Pearson India, 2014
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Language: English
Published by Palgrave Macmillan, 2014
- Hardcover
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Language: English
Published by Palgrave Macmillan Limited, 2014
- Softcover
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Paperback. Condition: New. 2nd Edition. Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and pred…iction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.

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- Softcover
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Paperback. Condition: New. 2nd Edition. Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and pred…iction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.

Language: English
Published by Palgrave Macmillan 2014-01-01, 2014
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Language: English
Published by Palgrave Macmillan, 2014
- Softcover
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Condition: New. In English.

- Softcover
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Language: English
Published by Palgrave Macmillan, 2014
- Softcover
- First Edition
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Condition: New. This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organiza…tions. Series: Business in the Digital Economy. Num Pages: 272 pages, biography. BIC Classification: KCM; KJC; KJMV3; KJQ; KJS; KJSM. Category: (G) General (US: Trade). Dimension: 161 x 239 x 17. Weight in Grams: 412. . 2014. 1st ed. 2014. paperback. . . . .

- Softcover
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- Softcover
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Language: English
Published by MacMillan, 2014
- Softcover
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Condition: New. pp. 272 1st ed. 2014 edition NO-PA16APR2015-KAP.

- Softcover
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- Softcover
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- Softcover
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Language: English
Published by Palgrave Macmillan, 2014
- Softcover
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Condition: New. This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organiza…tions. Series: Business in the Digital Economy. Num Pages: 272 pages, biography. BIC Classification: KCM; KJC; KJMV3; KJQ; KJS; KJSM. Category: (G) General (US: Trade). Dimension: 161 x 239 x 17. Weight in Grams: 412. . 2014. 1st ed. 2014. paperback. . . . . Books ship from the US and Ireland.

Language: English
Published by Palgrave Macmillan, 2014
- Softcover
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- Softcover
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Paperback. Condition: Brand New. 2nd edition. 304 pages. 9.00x6.50x0.75 inches. In Stock.

Language: English
Published by Pearson FT Press, 2014
- Hardcover
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- Softcover
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Paperback. Condition: New. 2nd Edition. Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and pred…iction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.
More imagesLanguage: English
Published by Palgrave Macmillan, 2014
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Predictive Analytics, Data Mining and Big Data | Myths, Misconceptions and Methods | S. Finlay | Taschenbuch | Business in the Digital Economy | xii | Englisch | 2014 | Palgrave Macmillan | EAN 9781349478682 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelber…g, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

- Softcover
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- Softcover
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