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Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges

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Title: Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges
Description: The primary objective of this book is to provide insight into the design and development of the intelligent system. The proposed book volume mainly focuses on a machine learning and deep learning-based intelligent system that would bring out the latest trends in the field of tourism, healthcare, agriculture, etc. This book provides security solutions for the intelligent system in different applications. The technological gaps between the traditional system and intelligent system are mentioned in the book, which will help in better understanding for the implementation of the intelligent system using machine learning (ML) and deep learning (DL) approaches. Although ML and DL have made great achievements in intelligent systems, there are still substantial open challenges that have not been fully studied. The main open challenges of using ML and DL in intelligent systems are: (i) Better performance of the system (ii) Time complexity of the jobs running inside an intelligent system (iii) Managing overload tasks (iv) Providing security towards the system. This book will definitely help academicians, researchers and industry people towards the security, design and development of the intelligent system.
Authors: Abhaya Kumar Sahoo
Resource Type: eBook.
Subjects: Deep learning (Machine learning)--Industrial applications, Machine learning--Industrial applications, System design--Data processing
Categories: COMPUTERS / Data Science / Machine Learning
Database: eBook Collection (EBSCOhost)
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  Data: The primary objective of this book is to provide insight into the design and development of the intelligent system. The proposed book volume mainly focuses on a machine learning and deep learning-based intelligent system that would bring out the latest trends in the field of tourism, healthcare, agriculture, etc. This book provides security solutions for the intelligent system in different applications. The technological gaps between the traditional system and intelligent system are mentioned in the book, which will help in better understanding for the implementation of the intelligent system using machine learning (ML) and deep learning (DL) approaches. Although ML and DL have made great achievements in intelligent systems, there are still substantial open challenges that have not been fully studied. The main open challenges of using ML and DL in intelligent systems are: (i) Better performance of the system (ii) Time complexity of the jobs running inside an intelligent system (iii) Managing overload tasks (iv) Providing security towards the system. This book will definitely help academicians, researchers and industry people towards the security, design and development of the intelligent system.
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      – Code: 004.21
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Deep learning (Machine learning)--Industrial applications
        Type: general
      – SubjectFull: Machine learning--Industrial applications
        Type: general
      – SubjectFull: System design--Data processing
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      – TitleFull: Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges
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            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 04
              M: 05
              Type: profile
              Y: 2024
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