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Data Simplification Taming Information by Berman Jules (15 results)
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 398.
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Data Simplification: Taming Information With Open Source Tools
Language: English
Published by Morgan Kaufmann 2016-03-23, 2016
ISBN 10: 0128037814 ISBN 13: 9780128037812
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Condition: New. pp. 398.
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Data Simplification : Taming Information With Open Source Tools
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Data Simplification: Taming Information With Open Source Tools
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Condition: New. pp. 398.
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Data Simplification: Taming Information With Open Source Tools
Language: English
Published by Morgan Kaufmann 2016-03-23, 2016
ISBN 10: 0128037814 ISBN 13: 9780128037812
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Data Simplification: Taming Information With Open Source Tools
Language: English
Published by Elsevier Science & Technology, 2016
ISBN 10: 0128037814 ISBN 13: 9780128037812
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Data Simplification : Taming Information With Open Source Tools
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Data Simplification: Taming Information with Open Source Tools
Language: English
Published by Morgan Kaufmann Publishers In, 2016
ISBN 10: 0128037814 ISBN 13: 9780128037812
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Add to basketPaperback. Condition: Brand New. 404 pages. 9.00x7.50x1.00 inches. In Stock. This item is printed on demand.
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Data Simplification: Taming Information With Open Source Tools
Language: English
Published by Elsevier Science & Technology, 2016
ISBN 10: 0128037814 ISBN 13: 9780128037812
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user.
