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

Radar Data Processing With Applications

Radar Data Processing With Applications
  • Author : He You,Xiu Jianjuan,Guan Xin
  • Publisher : John Wiley & Sons
  • Release : 24 October 2016
GET THIS BOOKRadar Data Processing With Applications

A systematic introduction to the theory, development and latest research results of radar data processing technology • Presents both classical theory and development methods of radar data processing • Provides state-of-the-art research results, including data processing for modern style radars, and tracking performance evaluation theory • Includes coverage of performance evaluation, registration algorithm for Radar network, data processing of passive radar, pulse Doppler radar, and phased array radar • Has applications for those engaged in information engineering, radar engineering, electronic countermeasures, infrared techniques, sonar

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  • Publisher : Esri Press
  • Release : 19 May 2021
GET THIS BOOKGIS Tutorial II

GIS Tutorial II: Spatial Analysis Workbook offers hands-on exercises to help GIS users at the intermediate level continue to build their problem-solving and analysis skills. Inspired by The ESRI Guide to GIS Analysis book series by Andy Mitchell, GIS Tutorial II provides a practical format for GIS users to develop proficiency in various spatial analysis methods, including classification; assessment of quantities and densities; location analysis; change over time, location, and value comparisons; geographic distribution; pattern analysis; and cluster identification. Whether

Visualization in Scientific Computing ’95

Visualization in Scientific Computing ’95
  • Author : Riccardo Scateni,Jarke J.van Wijk
  • Publisher : Springer
  • Release : 03 August 1995
GET THIS BOOKVisualization in Scientific Computing ’95

This book represents results in the field of Scientific Visualization which is nowadays an indispensable discipline to get insight in the huge amounts of data produced by large scale simulations or advanced measurement devices.The readers will find a selection of state-of-the-art results and techniques in Scientific Visualization reserach, which they can use to find solutions for their visualization problems.