Da: HPB-Red, Dallas, TX, U.S.A.
Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Da: Skoob-ebooks, Pontiac, QC, Canada
EUR 45,12
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Very Good+. In great condition. Few signs of wear. Clean with no highlighting or writing. 30-day returns. Free shipping within Canada. For shipments outside of Canada, import duties and other charges may be levied on receipt. ; 0 X 0 X 0 inches; 576 pages.
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Da: Wrigley Books, Austin, TX, U.S.A.
Hardcover. Condizione: very good. Used items may not include media like access codes or CDs. Fast shipping! Expedited orders take 1-3 business days! Media mail may take up to 5 business days.
Editore: Wiley
ISBN 10: 1118879368 ISBN 13: 9781118879368
Da: FirstClassBooks, Little Rock, AR, U.S.A.
Condizione: Good. Used books cannot guarantee unused access codes or working CD's!
Hardcover. Condizione: New. 2nd Edition. Brand New US Edition textbook. Ship from Multiple Locations, including Asia , Hong Kong ,Taiwan , US or Canada depend on stock location.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 102,91
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: eCampus, Lexington, KY, U.S.A.
Condizione: Very Good.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 112,70
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 103,10
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 108,90
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 129,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Mooney's bookstore, Den Helder, Paesi Bassi
EUR 140,37
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Very good.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2023
ISBN 10: 1119835178 ISBN 13: 9781119835172
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 162,82
Quantità: 2 disponibili
Aggiungi al carrelloHardback. 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 R 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 second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates 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 studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 155,72
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 168,65
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. har/psc edition. 544 pages. 11.00x8.00x1.25 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 170,29
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 672 pages. 10.28x7.20x1.18 inches. In Stock.
Da: Ubiquity Trade, Miami, FL, U.S.A.
EUR 224,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Brand new! Please provide a physical shipping address.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2023
ISBN 10: 1119835178 ISBN 13: 9781119835172
Da: Rarewaves.com UK, London, Regno Unito
EUR 153,68
Quantità: 2 disponibili
Aggiungi al carrelloHardback. 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 R 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 second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates 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 studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA 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.
Editore: John Wiley & Sons Inc
Da: Academic Book Solutions, Medford, NY, U.S.A.
hardcover. Condizione: LikeNew. Pages are New and Unused, Front or Back cover is damaged- torn, wrinkled or dented., Used Like New, no missing pages, no damage to binding, may have a remainder mark.