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      New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling

      2 in stock

      Firm sale: non returnable item
      SKU 9781774634998 Categories ,
      This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more.

      This comprehensive and timely book, New Age Analytics: Tra...

      £82.99

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      Description

      Product ID:9781774634998
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:New Age Analytics
      Subtitle:Transforming the Internet through Machine Learning, IoT, and Trust Modeling
      Authors:Author: Gulshan Shrivastava, Sheng-Lung Peng, Meenakshi Sharma, Kavita Sharma, Himani Bansal
      Page Count:344
      Subjects:Databases, Databases, Machine learning, Machine learning
      Description:This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more.

      This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more.



      This volume provides an abundance of valuable information for professionals and researchers working in the field of business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis. Moreover, the book provides insights and support from both practitioners and academia in order to highlight the most debated aspects in the field.


      Imprint Name:Apple Academic Press Inc.
      Publisher Name:Apple Academic Press Inc.
      Country of Publication:GB
      Publishing Date:2022-02-24

      Additional information

      Weight598 g
      Dimensions155 × 234 × 24 mm