9781461443421 - r for business analytics de ohri, a (19 resultados)
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Librería: BoundlessBookstore, Wallingford, Reino UnidoBoundlessBookstore
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Hardcover. Condición: Very Good. VG condition book without dust jacket. Boards are clean with little wear. Book has clean and bright contents.
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Librería: New Legacy Books, Annandale, NJ, Estados Unidos de AmericaNew Legacy Books
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EUR 12,27
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hardcover. Condición: Good. Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations.
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Librería: Better World Books, Mishawaka, IN, Estados Unidos de AmericaBetter World Books
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EUR 14,75
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Condición: 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.
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Librería: Hamelyn, Madrid, M, EspañaHamelyn
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EUR 24,44
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Condición: Muy bueno. : Este libro, publicado en 2012 por Springer, es una guía para el uso de R en el análisis de negocios. Escrito por Ajay Ohri, cubre temas relevantes para la aplicación de R en el mundo empresarial. EAN: 9781461443421 Tipo: Libros Categoría: Negocios y Economía|Tecnología Título: R for Business Analytics Aut…or: Ajay Ohri Idioma: en.
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Librería: About Books, Henderson, NV, Estados Unidos de AmericaAbout Books
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EUR 35,17
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Hardcover. Condición: Good condition. No dust jacket. First Edition. New York: Springer, 2012. Good condition. Square and tight. Bright and shiny. Hinges are perfect. Previous owner's name on the front free endpaper. NOT a library discard. NOT a remainder. Wrinkle at the bottom of many pages -- mostly in the lower margin. Doesn'…t affect readability. PHOTOS UPON REQUEST. NO underlining. NO highlighting. NO margin notes. Bound in the original orange laminated boards. From the rear coverr: "R FOR BUSINESS ANALYTICS looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy.". First Edition. Hardcover. Good condition/No dust jacket. Illus. by NOT a library discard. 8vo. xviii, 312pp. Great Packaging, Fast Shipping. NOT a library discard (ilustrador).
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 113,50
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Condición: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 129,01
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Condición: New. In.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 107,09
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Gebunden. Condición: New.
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 170,62
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Condición: New. pp. xviii + 312.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 182,14
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Hardcover. Condición: Brand New. 2013 edition. 330 pages. 9.25x6.25x0.75 inches. In Stock.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 132,72
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process… the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The book utilizes Albert Einstein's famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author.
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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EUR 213,17
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Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 102,25
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Condición: new. Questo è un articolo print on demand.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 128,39
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that…can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The book utilizes Albert Einstein's famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author. 332 pp. Englisch.
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 153,01
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Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 177,01
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Condición: New. Print on Demand pp. xviii + 312 206 Illus. (160 Col.).
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 111,10
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Buch. Condición: Neu. R for Business Analytics | A. Ohri | Buch | xviii | Englisch | 2012 | Springer | EAN 9781461443421 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 128,39
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can…help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut downand bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics.This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field ofexploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategizeand DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy.The book utilizes Albert Einstein¿s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimovwas a better writer in spreading science than any textbook or journal author.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 332 pp. Englisch.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 179,96
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Condición: New. PRINT ON DEMAND pp. xviii + 312.
