9781119828792 - machine learning for business analytics: concepts, techniques and applications in rapidminer von shmueli, galit; bruce, peter c.; deokar, amit v.; patel, nitin r. (27 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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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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hardcover. Zustand: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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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Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
- Hardcover
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- Hardcover
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Hardcover. Zustand: Brand New. 540 pages. 10.28x7.28x1.22 inches. In Stock.
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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: GreatBookPrices, Columbia, MD, USAGreatBookPrices
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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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- Hardcover
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Hardcover. Zustand: new. Hardcover. Machine Learning for Business Analytics Machine learningalso known as data mining or data analyticsis 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, Tec…hniques and 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 141,19
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Zustand: New. In English.
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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EUR 158,68
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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.
- Hardcover
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes KönigreichTHE SAINT BOOKSTORE
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Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.
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 153,25
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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: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Zustand: As New. Unread book in perfect condition.
- Hardcover
- Erstausgabe
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Zustand: New. 2023. 1st Edition. Hardcover. . . . . .
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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- Hardcover
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Hardcover. Zustand: new. Hardcover. Machine Learning for Business Analytics Machine learningalso known as data mining or data analyticsis 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, Tec…hniques and 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
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EUR 187,54
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Zustand: New. 2023. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
MACHINE LEARNING FOR BUSINESS ANALYTICS CONCEPTS TECHNIQUES AND APPLICATIONS IN RAPIDMINER (HB 2023)
- Hardcover
- Internationale Ausgabe
Anbieter: UK BOOKS STORE, London, LONDO, Vereinigtes KönigreichUK BOOKS STORE
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Zustand: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the…Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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 230,30
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Zustand: New. Brand new! Please provide a physical shipping address.
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 155,16
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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.
- Hardcover
Anbieter: AussieBookSeller, Truganina, VIC, AustralienAussieBookSeller
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EUR 234,46
EUR 31,93 VersandVersand von Australien nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: new. Hardcover. Machine Learning for Business Analytics Machine learningalso known as data mining or data analyticsis 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, Tec…hniques and 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
