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Machine Learning and Deep Learning in Real-Time Applications

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Title: Machine Learning and Deep Learning in Real-Time Applications
Description: Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
Authors: Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, Paawan Sharma
Resource Type: eBook.
Subjects: Computer science, Electronic data processing, Machine learning, Real-time data processing, Deep learning (Machine learning)
Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Machine Theory, COMPUTERS / Internet / General
Database: eBook Collection (EBSCOhost)
FullText Links:
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  Data: Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
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      – Code: 006.31
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computer science
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Real-time data processing
        Type: general
      – SubjectFull: Deep learning (Machine learning)
        Type: general
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      – TitleFull: Machine Learning and Deep Learning in Real-Time Applications
        Type: main
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 24
              M: 06
              Type: profile
              Y: 2020
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              Value: 9781799830955
            – Type: isbn-electronic
              Value: 9781799830979
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              Value: 9781799830986
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            – TitleFull: Machine Learning and Deep Learning in Real-Time Applications
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