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N.A. Condition: New. ISBN:9789332540354.
Condition: New.
Language: English
Published by Createspace Independent Publishing Platform, 2016
ISBN 10: 1530414830 ISBN 13: 9781530414833
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 59.67
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Add to basketPaperback. Condition: Brand New. 58 pages. 6.00x0.14x9.00 inches. In Stock.
Condition: New.
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 prediction. 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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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 prediction. 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.
Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 69.80
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Add to basketCondition: New. In English.
Language: English
Published by Palgrave Macmillan 2014-01-01, 2014
ISBN 10: 1349478687 ISBN 13: 9781349478682
Seller: Chiron Media, Wallingford, United Kingdom
US$ 65.53
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Add to basketPaperback. Condition: New.
Condition: As New. Unread book in perfect condition.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
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 organizations. 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. . . . .
Condition: New. pp. 272 1st ed. 2014 edition NO-PA16APR2015-KAP.
Condition: new.
Language: English
Published by De Gruyter 2019-12-16, 2019
ISBN 10: 1547417951 ISBN 13: 9781547417957
Seller: Chiron Media, Wallingford, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 84.81
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Add to basketCondition: New.
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 organizations. 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.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 248 pages. 9.25x6.10x1.06 inches. In Stock.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketCondition: New. In English.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 102.10
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Add to basketPaperback. Condition: Brand New. 2nd edition. 304 pages. 9.00x6.50x0.75 inches. In Stock.
Language: English
Published by De Gruyter 2019-12-16, 2019
ISBN 10: 1547417951 ISBN 13: 9781547417957
Seller: Chiron Media, Wallingford, United Kingdom
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Add to basketPaperback. Condition: New.
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 prediction. 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.