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Book Overview Data Simplification: Taming Information With Open Source Tools addressesthe simple fact that modern data is too big and complex to analyz...
Data Simplification: Taming Information With Open Source Tools addressesthe 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.
Book Details Format: Paperback | Pages: 398 | Language: English | Publisher: MORGAN KAUFMANN PUBL INC | ISBN: 0128037814
FormatPaperback
Pages398
LanguageEnglish
ISBN0128037814
EAN9780128037812
PublisherMORGAN KAUFMANN PUBL INC
Publication Date2016-03-16
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight1.51 Pounds
Length9.25 Inches
Width7.5 Inches
Height0.82 Inches
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