Data Simplification

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

Produk Detail:

  • Author : Jules J. Berman
  • Publisher : Morgan Kaufmann
  • Pages : 398 pages
  • ISBN : 0128038543
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Simplification

Data Simplification

Data Simplification
  • Author : Jules J. Berman
  • Publisher : Morgan Kaufmann
  • Release : 10 March 2016
GET THIS BOOKData Simplification

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

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  • Publisher : Steps Publishing Australia
  • Release : 07 October 2019
GET THIS BOOKA Modern Enterprise Architecture Approach

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  • Release : 06 January 2010
GET THIS BOOKICT Innovations 2009

This book is the result of the first International Conference ICT Innovations 2009. The ICT Innovations conference is the primary scientific action of the Macedonian Society on Information and Communication Technologies (ICT-ACT). It promotes the publication of scientific results of the international community related to innovative fundamental and applied research in ICT. Today, ICT has enlarged its horizons and it is practiced under multidisciplinary contexts that introduce new challenges to theore- cal and technical approaches. The ICT Innovations 2009 conference gathered academics,

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  • Publisher : John Wiley & Sons
  • Release : 04 February 2020
GET THIS BOOKComputer Aided Design and Manufacturing

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  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKStatistics

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  • Release : 19 December 2017
GET THIS BOOKDigital Imaging for Cultural Heritage Preservation

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  • Publisher : Springer
  • Release : 17 December 2018
GET THIS BOOKGraph Drawing and Network Visualization

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GET THIS BOOKCooperative Design, Visualization, and Engineering

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  • Release : 03 January 2006
GET THIS BOOKThe Life Cycle of Psychological Ideas

This book focuses on what other volumes have only touched on, that is the factors that contribute to the rise of certain persons and ideas in the field of psychology. Bringing together noted experts in the field, it describes the process of intellectual reconstructions that determines how we view historical events, and why some ideas die only to be reborn again, as well as why new ideas can quickly topple traditional views.

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Mathematical Visualization is a young new discipline. It offers efficient visualization tools to the classical subjects of mathematics, and applies mathematical techniques to problems in computer graphics and scientific visualization. Originally, it started in the interdisciplinary area of differential geometry, numerical mathematics, and computer graphics. In recent years, the methods developed have found important applications. The current volume is the quintessence of an international workshop in September 1997 in Berlin, focusing on recent developments in this emerging area. Experts present selected

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GET THIS BOOKCognitive Aspects of Human-Computer Interaction for GIS

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