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Data simplification : = taming infor...

Berman, Jules J.,

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Data simplification : = taming information with open source tools /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data simplification :/ Jules J. Berman.
其他題名:	taming information with open source tools /
作者:	Berman, Jules J.,
面頁冊數:	1 online resource
標題:	Open source software. -
電子資源:	https://www.sciencedirect.com/science/book/9780128037812
ISBN:	9780128037812

Data simplification : = taming information with open source tools /
Berman, Jules J.,

Data simplification :taming information with open source tools /Jules J. Berman. - 1 online resource

Includes bibliographical references and index.

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.

ISBN: 9780128037812Subjects--Topical Terms:

581998
Open source software.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.76.S46

Dewey Class. No.: 005.3

Data simplification : = taming information with open source tools /
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