9781119828792 - machine learning for business analytics: concepts, techniques and applications in rapidminer di shmueli, galit; bruce, peter c.; deokar, amit v.; patel, nitin r. (26 risultati)
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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Da: Goodwill Books, Hillsboro, OR, U.S.A.Goodwill Books
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EUR 28,70
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Condizione: good. Signs of wear and consistent use.
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Rilegato
Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 49,59
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Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Rilegato
Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 49,59
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: New. 1. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.
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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Da: BGV Books LLC, Murray, KY, U.S.A.BGV Books LLC
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EUR 58,89
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Condizione: Good. Exact ISBN match. Immediate shipping. No funny business.
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- Prima edizione
Da: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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EUR 58,25
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hardcover. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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- Prima edizione
Da: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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EUR 64,57
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hardcover. Condizione: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Da: TextbookRush, Grandview Heights, OH, U.S.A.TextbookRush
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EUR 110,08
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Condizione: Brand New.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 117,50
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 110,61
EUR 17,51 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: Brand New. 540 pages. 10.28x7.28x1.22 inches. In Stock.
Machine Learning for Business Analytics : Concepts, Techniques and Applications in Rapidminer
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 128,92
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Condizione: New.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new.
Machine Learning for Business Analytics : Concepts, Techniques and Applications in Rapidminer
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 135,18
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Condizione: 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.
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 127,19
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Condizione: New.
Machine Learning for Business Analytics
Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Amit V. Deokar
- Rilegato
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 157,37
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Hardback. Condizione: 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… 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.
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Rilegato
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 151,99
EUR 7,59 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: New.
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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EUR 138,71
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Hardback. Condizione: 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.
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 144,22
EUR 17,51 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 163,50
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: 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,…Techniques 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.
- Rilegato
- Prima edizione
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 150,42
EUR 9,50 spedizioneSpedito da Irlanda a U.S.A.Quantità: 1 disponibili
Condizione: 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.
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 165,31
EUR 3,41 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: New.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 142,46
EUR 43,19 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: 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,…Techniques 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.
- Rilegato
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 185,99
EUR 8,99 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: 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)
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- Edizione Internazionale
Da: UK BOOKS STORE, London, LONDO, Regno UnitoUK BOOKS STORE
Contatta il venditoreVenditore con 5 stelleEdizione InternazionaleCondizione: Nuovo
EUR 207,23
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: 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 t…he 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
Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Amit V. Deokar
- Rilegato
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 149,48
EUR 75,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Hardback. Condizione: 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… 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.
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Shmueli, Galit; Bruce, Peter C.; Deokar, Amit V.; Patel, Nitin R.
- Rilegato
Da: Ubiquity Trade, Miami, FL, U.S.A.Ubiquity Trade
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 228,40
EUR 2,57 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Brand new! Please provide a physical shipping address.
- Rilegato
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 232,89
EUR 31,66 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: 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,…Techniques 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.
