Distributed Machine Learning and Computing: Theory and Applications -
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This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing t ... Pilns apraksts
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Aprašymas
This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques.
Vairāk informācijas
| Izdevējs | Springer Nature Switzerland |
|---|---|
| Series | Big and Integrated Artificial Intelligence |
| Izlaides gads | 2024 |
| Vāka tips | Cietais vāks |
| EAN | 9783031575662 |