Description

Book Synopsis

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.

This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.

Features

  • Addresses the complete data science technologies workflow

  • Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning

  • Covers data processing and security solutions in IoT and Big Data applications

  • Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems

  • Presents security issues and data migration techniques of NoSQL databases

Big Data IoT and Machine Learning

    Product form

    A Paperback by Rashmi Agrawal

    £61.20

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    RRP £68.00 – you save £6.80 (10%)

    Order before 4pm today for delivery by Tue 17 Nov 2026.

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      Book details

      Publisher Taylor & Francis
      Imprint Taylor & Francis Ltd
      Published 1 March 2022
      ISBN-13 9780367531218
      978-0367531218
      ISBN-10 0367531216
      Also in:
      Operational research

      Description

      Book Synopsis

      The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.

      This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.

      Features

      • Addresses the complete data science technologies workflow

      • Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning

      • Covers data processing and security solutions in IoT and Big Data applications

      • Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems

      • Presents security issues and data migration techniques of NoSQL databases

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