Download the fantastic book titled Applied Machine Learning for Smart Data Analysis written by Nilanjan Dey, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Applied Machine Learning for Smart Data Analysis", which was released on 20 May 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Applied Machine Learning for Smart Data Analysis by Nilanjan Dey PDF
The book focuses on how machine learning 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, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such 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 such as 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 human health, transportation and Internet applications
Detail About Applied Machine Learning for Smart Data Analysis PDF
- Author : Nilanjan Dey
- Publisher : CRC Press
- Genre : Computers
- Total Pages : 225 pages
- ISBN : 0429804571
- Release Date : 20 May 2019
- PDF File Size : 55,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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