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Verlag: Createspace Independent Publishing Platform, 2015
ISBN 10: 1519559720 ISBN 13: 9781519559722
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Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform, 2014
ISBN 10: 1500428590 ISBN 13: 9781500428594
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Sprache: Englisch
Verlag: CreateSpace Independent Publishi, 2014
ISBN 10: 1500428590 ISBN 13: 9781500428594
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Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform, 2014
ISBN 10: 1500428590 ISBN 13: 9781500428594
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Sprache: Englisch
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ISBN 10: 1500428590 ISBN 13: 9781500428594
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Sprache: Englisch
Verlag: Createspace Independent Publishing Platform, 2008
ISBN 10: 1440478120 ISBN 13: 9781440478123
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Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform, 2014
ISBN 10: 1500428590 ISBN 13: 9781500428594
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Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform, 2014
ISBN 10: 1500428590 ISBN 13: 9781500428594
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Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform, 2014
ISBN 10: 1500428590 ISBN 13: 9781500428594
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In den WarenkorbPaperback. Zustand: 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. Zustand: 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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In den WarenkorbZustand: New. In English.
Zustand: New. Peter Ghavami, Senior Vice President, Head of Wholesale Data Science & Analytics at Bank of America, USA Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random fores.
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EUR 82,13
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In den WarenkorbPaperback. Zustand: New.
Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform, 2014
ISBN 10: 1500428590 ISBN 13: 9781500428594
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 84,20
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In den WarenkorbPaperback. Zustand: New. Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.
EUR 75,64
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In den WarenkorbPaperback. Zustand: 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.