Data Simplification

  • Author : Jules J. Berman
  • Publsiher : Morgan Kaufmann
  • Release : 10 March 2016
  • ISBN : 9780128038543
  • Page : 398 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Data Simplification written by Jules J. Berman and published by Morgan Kaufmann. This book was released on 10 March 2016 with total page 398 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : 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. Discusses data simplification principles, methods, and tools that must be studied and mastered Provides open source tools, free utilities, and snippets of code that can be reused and repurposed to simplify data Explains how to best utilize indexes to search, retrieve, and analyze textual data Shows the data scientist how to apply ontologies, classifications, classes, properties, and instances to data using tried and true methods

Exam Prep for Data Simplification

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Publisher: Unknown
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Data Simplification

Data Simplification
Author: Jules J. Berman
Publisher: Morgan Kaufmann
Relase: 2016-03-10
ISBN: 9780128038543
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Report Series on Mental Health Statistics

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Relase: 1952
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A Simplification of Textile Waste Survey and Treatment
Author: Wesleyan University (Middletown, Conn.). Hall Laboratory of Chemistry,New England Interstate Water Pollution Control Commission
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Relase: 1959
ISBN: UOM:39015002031832
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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
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Relase: 2009-09-30
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Commercial Standards Monthly A Review of Progress in Commercial Standardization and Simplification

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Relase: 1931
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Relase: 2014-10-27
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Feature Driven Compression and Simplification of 2d Vector Fields
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Relase: 2002
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Introduction to Data Processing
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Relase: 1966
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GIS Tutorial II

GIS Tutorial II
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