Applied Machine Learning for Smart Data Analysis

1st Edition

Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan

CRC Press
May 30, 2019 Forthcoming
Reference - 320 Pages - 105 B/W Illustrations
ISBN 9781138339798 - CAT# K394060
Series: Computational Intelligence in Engineering Problem Solving

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

Key Features

Follows an algorithmic approach for data analysis in machine learning

Introduces machine learning methods in applications

Address the emerging issues in computing like deep learning, machine learning, internet of things and data analytics

Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets

Case studies are covered relating to the human health, transportation and internet applications


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