Deokar amit v (31 Ergebnisse)
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
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Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Analytics and Data Science : Advances in Research and Pedagogy
Deokar, Amit V. (EDT); Gupta, Ashish (EDT); Iyer, Lakshmi S. (EDT); Jones, Mary C. (EDT)
Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Analytics and Data Science : Advances in Research and Pedagogy
Deokar, Amit V. (EDT); Gupta, Ashish (EDT); Iyer, Lakshmi S. (EDT); Jones, Mary C. (EDT)
Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Machine Learning for Business Analytics : Concepts, Techniques and Applications in Rapidminer
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
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Machine Learning for Business Analytics : Concepts, Techniques and Applications in Rapidminer
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
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Machine Learning for Business Analytics : Concepts, Techniques and Applications in Rapidminer
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 117,85
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Machine Learning for Business Analytics : Concepts, Techniques and Applications in Rapidminer
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Machine Learning for Business Analytics
Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Amit V. Deokar
- Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
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Hardback. Zustand: New. Machine Learning for Business Analytics Machine learning-also known as data mining or data analytics-is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques an…d Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. This edition also includes: A new co-author, Amit Deokar, who brings experience teaching business analytics courses using RapidMiner Integrated use of RapidMiner, an open-source machine learning platform that has become commercially popular in recent years An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
Analytics and Data Science : Advances in Research and Pedagogy
Deokar, Amit V. (EDT); Gupta, Ashish (EDT); Iyer, Lakshmi S. (EDT); Jones, Mary C. (EDT)
Sprache: Englisch
Verlag: Springer, 2017
- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Zustand: New.
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 154,06
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Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Analytics and Data Science : Advances in Research and Pedagogy
Deokar, Amit V. (EDT); Gupta, Ashish (EDT); Iyer, Lakshmi S. (EDT); Jones, Mary C. (EDT)
Sprache: Englisch
Verlag: Springer, 2017
- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Zustand: As New. Unread book in perfect condition.
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
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EUR 167,56
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Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Taschenbuch. Zustand: Neu. Analytics and Data Science | Advances in Research and Pedagogy | Amit V. Deokar (u. a.) | Taschenbuch | Annals of Information Systems | viii | Englisch | 2017 | Springer | EAN 9783319580968 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartm…ann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2017
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 128,39
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop an…d utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requiresexamination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science.
Sprache: Englisch
Verlag: Springer, 2017
- Softcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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Analytics and Data Science: Advances in Research and Pedagogy
Deokar, Amit V. (Editor)/ Gupta, Ashish (Editor)/ Iyer, Lakshmi (Editor)/ Jones, Mary C. (Editor)
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2017
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 297 pages. 9.25x6.25x0.50 inches. In Stock.
Machine Learning for Business Analytics
Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Amit V. Deokar
- Hardcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
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EUR 149,94
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Hardback. Zustand: New. Machine Learning for Business Analytics Machine learning-also known as data mining or data analytics-is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques an…d Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. This edition also includes: A new co-author, Amit Deokar, who brings experience teaching business analytics courses using RapidMiner Integrated use of RapidMiner, an open-source machine learning platform that has become commercially popular in recent years An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
Anbieter: Ubiquity Trade, Miami, FL, USAUbiquity Trade
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EUR 231,51
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Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Sprache: Englisch
Verlag: Springer, 2017
- Softcover
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Paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Sprache: Englisch
Verlag: Springer, 2017
- Softcover
- Print-on-Demand
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Sprache: Englisch
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- Softcover
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, sp…read, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science. 308 pp. Englisch.
Sprache: Englisch
Verlag: Springer International Publishing, 2017
- Softcover
- Print-on-Demand
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores the latest advances in research and pedagogy for analytics and data scienceExamines how analytics and data science approaches contribute to improved organizational information processin…g and decision makingChapters are written by leading ac.
Sprache: Englisch
Verlag: Springer, Springer Okt 2017, 2017
- Softcover
- Print-on-Demand
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread…, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015.Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requiresexamination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.
Sprache: Englisch
Verlag: Springer, 2017
- Softcover
- Print-on-Demand
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Zustand: New. Print on Demand.
