IoT, Cloud Computing and Machine Learning

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Title: IoT, Cloud Computing and Machine Learning
Description: The Internet of Things (IoT) is a rapidly growing technology trend that is transforming the way we interact with the world around us. At its core, IoT refers to the growing network of internet-connected devices and sensors that are embedded in everyday objects, such as home appliances, cars, and even clothing.Cloud computing is a technology that allows users to access computing resources, such as servers, storage, and applications, over the internet. Instead of hosting these resources on local servers or computers, they are hosted in data centers operated by cloud service providers.Machine learning is a branch of artificial intelligence that involves the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data.
Authors: Dr. A. K. Sharma
Resource Type: eBook.
Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Distributed Systems / Cloud Computing, COMPUTERS / Internet of Things (IoT)
Database: eBook Collection (EBSCOhost)
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  Availability: 0
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RelevancyScore: 1116
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PubType: eBook
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  Data: The Internet of Things (IoT) is a rapidly growing technology trend that is transforming the way we interact with the world around us. At its core, IoT refers to the growing network of internet-connected devices and sensors that are embedded in everyday objects, such as home appliances, cars, and even clothing.Cloud computing is a technology that allows users to access computing resources, such as servers, storage, and applications, over the internet. Instead of hosting these resources on local servers or computers, they are hosted in data centers operated by cloud service providers.Machine learning is a branch of artificial intelligence that involves the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data.
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      – Code: eng
        Text: English
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
          Identifiers:
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              Value: 9789357671217
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