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/https://libri-media.knygos-static.lt/633b398e-baff-4730-8bc4-e992b04b61b0/1)
- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 198
- ISBN-10: 1032623268
- ISBN-13: 9781032623269
- Kalba: Anglų
IoT and Machine Learning for Smart Applications (el. knyga) (skaityta knyga) | knygos.lt
Atsiliepimai
Aprašymas
This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.
Features:
- Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications
- Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications
- Describes how various methods are used to extract higher- level information from IoT- generated data
- Presents the latest technologies and research findings on IoT for smart applications
- Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems
It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.
- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 198
- ISBN-10: 1032623268
- ISBN-13: 9781032623269
- Kalba: Anglų
This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.
Features:
- Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications
- Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications
- Describes how various methods are used to extract higher- level information from IoT- generated data
- Presents the latest technologies and research findings on IoT for smart applications
- Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems
It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.
Atsiliepimai