Applied Machine Learning for Smart Data Analysis

Applied Machine Learning for Smart Data Analysis Front Cover
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2019-06-05
243 pages

Book Description

The book focuses on how and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as , security, IoT and , the concepts are explained with practical implementation including results.

Key Features

  • Follows an algorithmic approach for in machine learning
  • Introduces machine learning methods in applications
  • Address the emerging issues in such as deep learning, machine learning, Internet of Things and data
  • Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets
  • Case studies are covered relating to human , transportation and Internet applications

Book Details

  • Title: Applied Machine Learning for Smart Data Analysis
  • Length: 243 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-06-05
  • ISBN-10: 1138339792
  • ISBN-13: 9781138339798
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