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BOOKS - PROGRAMMING - Machine Learning for Big Data Analysis
Machine Learning for Big Data Analysis - Siddhartha Bhattacharyya 2018 PDF de Gruyter BOOKS PROGRAMMING
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Machine Learning for Big Data Analysis
Author: Siddhartha Bhattacharyya
Year: 2018
Format: PDF
File size: 10.16 MB
Language: ENG

This volume comprises six well-versed contributed chapters devoted to report the latest findings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering.

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