Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
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Añadir al carritoCondición: New. 350 pp., Hardcover, NEW!! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Idioma: Inglés
Publicado por Information Science Reference, 2010
ISBN 10: 1609601025 ISBN 13: 9781609601027
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 72,17
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Publicado por Kendall Hunt Publishing (edition 2), 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 93,70
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Añadir al carritoPaperback. Condición: Good. 2. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 105,04
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 107,36
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Añadir al carritoHardcover. Condición: new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Kendall Hunt Publishing, 2010
ISBN 10: 0757573231 ISBN 13: 9780757573231
Librería: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, Reino Unido
EUR 76,22
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Añadir al carritoCondición: Very Good. A large crease on top corner of front cover and first page. Content is fine.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 100,70
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 97,11
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Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
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Idioma: Inglés
Publicado por Business Science Reference 2020-02-28, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: Chiron Media, Wallingford, Reino Unido
EUR 97,23
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Añadir al carritoHardcover. Condición: New.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 97,10
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Idioma: Inglés
Publicado por Kendall Hunt Publishing, 2021
ISBN 10: 1524925489 ISBN 13: 9781524925482
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 103,85
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Añadir al carritoCondición: New. 2020. Hardcover. . . . . .
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 3 working days.
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Original o primera edición
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Añadir al carritoHardback. Condición: New. 1st. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 111,58
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 137,62
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Añadir al carritoCondición: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 147,28
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Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: moluna, Greven, Alemania
EUR 105,45
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Añadir al carritoCondición: New. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, includin.
Idioma: Inglés
Publicado por Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 153,60
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 177,98
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Idioma: Inglés
Publicado por Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 164,64
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Publicado por International Studies Association, 1975
Librería: Snookerybooks, Philippolis, Sur Africa
EUR 43,76
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Añadir al carritoSoft cover. Condición: Very Good. Ex-lib with usual stamps etc. Laminated wraps. 95pp unmarked. Binding good.
Idioma: Inglés
Publicado por Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 164,63
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Idioma: Inglés
Publicado por Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Librería: Revaluation Books, Exeter, Reino Unido
EUR 170,46
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 236 pages. 10.80x8.40x0.50 inches. In Stock.
Idioma: Inglés
Publicado por Information Science Reference, 2010
ISBN 10: 1609601025 ISBN 13: 9781609601027
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 175,07
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Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: preigu, Osnabrück, Alemania
EUR 117,10
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Añadir al carritoBuch. Condición: Neu. Open Source Software for Statistical Analysis of Big Data | Emerging Research and Opportunities | Richard S. Segall (u. a.) | Buch | Gebunden | Englisch | 2020 | Engineering Science Reference | EAN 9781799827689 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 167,67
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Añadir al carritoHardcover. Condición: new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Rarewaves.com UK, London, Reino Unido
Original o primera edición
EUR 120,67
Cantidad disponible: 1 disponibles
Añadir al carritoHardback. Condición: New. 1st. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 184,14
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Añadir al carritoCondición: New. In.