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Language: French
Published by SÃ lection du Reader's Digest 13 F, 2003
ISBN 10: 2709813963 ISBN 13: 9782709813969
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Language: French
Published by Sélection du Reader's Digest 00/b /13 F, 2003
ISBN 10: 2709813963 ISBN 13: 9782709813969
Seller: Bahamut Media, Reading, United Kingdom
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Language: English
Published by Information Science Reference, 2010
ISBN 10: 1609601025 ISBN 13: 9781609601027
Seller: Basi6 International, Irving, TX, U.S.A.
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Language: English
Published by Kendall Hunt Publishing, 2010
ISBN 10: 0757573231 ISBN 13: 9780757573231
Seller: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, United Kingdom
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Add to basketCondition: Very Good. A large crease on top corner of front cover and first page. Content is fine.
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: 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.
Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
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Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
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Language: English
Published by Business Science Reference 2020-02-28, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
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Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
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Language: English
Published by Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
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Seller: Rarewaves.com USA, London, LONDO, United Kingdom
First Edition
Hardback. Condition: 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.
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Language: English
Published by Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Seller: moluna, Greven, Germany
Condition: 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.
Published by International Studies Association, 1975
Seller: Snookerybooks, Philippolis, South Africa
Soft cover. Condition: Very Good. Ex-lib with usual stamps etc. Laminated wraps. 95pp unmarked. Binding good.
Language: English
Published by Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
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Language: English
Published by Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Kendall Hunt Publishing, 2014
ISBN 10: 1465251936 ISBN 13: 9781465251930
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Information Science Reference, 2010
ISBN 10: 1609601025 ISBN 13: 9781609601027
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: 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.
Seller: Rarewaves.com UK, London, United Kingdom
First Edition
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Add to basketHardback. Condition: 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.
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Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.