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.
Condizione: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
Condizione: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
Lingua: Inglese
Editore: Wiley & Sons, Incorporated, John, 2017
ISBN 10: 1119282012 ISBN 13: 9781119282013
Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
EUR 40,64
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Fine.
EUR 55,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.
hardcover. Condizione: Fine.
EUR 65,53
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 63,75
Quantità: 15 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 63,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new.
EUR 63,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 69,35
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 81,51
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 312.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 79,69
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Num Pages: 312 pages. BIC Classification: PB; UNF. Category: (P) Professional & Vocational. Dimension: 229 x 152. . . 2017. 1st Edition. Hardcover. . . . .
EUR 73,67
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Condizione: New. pp. 312.
EUR 101,00
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Num Pages: 312 pages. BIC Classification: PB; UNF. Category: (P) Professional & Vocational. Dimension: 229 x 152. . . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
EUR 113,40
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 307 pages. 9.50x6.50x0.75 inches. In Stock.
EUR 116,38
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - A reliable, cost-effective approach to extracting priceless business information from all sources of textExcavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R.Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. You'll learn how to:\* Identify actionable social media posts to improve customer service\* Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more\* Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image files\* Make text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much moreMost companies' data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documents--until now.
Da: Revaluation Books, Exeter, Regno Unito
EUR 86,53
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 307 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2017
ISBN 10: 1119282012 ISBN 13: 9781119282013
Da: CitiRetail, Stevenage, Regno Unito
EUR 102,75
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. Youll learn how to: Identify actionable social media posts to improve customer service Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image filesMake text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much more Most companies data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documentsuntil now. A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.