Machine Learning : Advanced Techniques and Emerging Applications / / edited by Hamed Farhadi
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| Autore: |
Hamed Farhadi
|
| Titolo: |
Machine Learning : Advanced Techniques and Emerging Applications / / edited by Hamed Farhadi
|
| Pubblicazione: | IntechOpen, 2018 |
| London, England : , : IntechOpen, , 2018 | |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (230 pages) |
| Disciplina: | 006.31 |
| Soggetto topico: | Machine learning |
| Soggetto non controllato: | Physical Sciences |
| Engineering and Technology | |
| Computer and Information Science | |
| Artificial Intelligence | |
| Machine Learning | |
| Persona (resp. second.): | FarhadiHamed |
| Sommario/riassunto: | The volume of data that is generated, stored, and communicated across different industrial sections, business units, and scientific research communities has been rapidly expanding. The recent developments in cellular telecommunications and distributed/parallel computation technology have enabled real-time collection and processing of the generated data across different sections. On the one hand, the internet of things (IoT) enabled by cellular telecommunication industry connects various types of sensors that can collect heterogeneous data. On the other hand, the recent advances in computational capabilities such as parallel processing in graphical processing units (GPUs) and distributed processing over cloud computing clusters enabled the processing of a vast amount of data. There has been a vital need to discover important patterns and infer trends from a large volume of data (so-called Big Data) to empower data-driven decision-making processes. Tools and techniques have been developed in machine learning to draw insightful conclusions from available data in a structured and automated fashion. Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial intelligence, information theory, cognitive science, and control theory. The recent advances in machine learning have had a broad range of applications in different scientific disciplines. This book covers recent advances of machine learning techniques in a broad range of applications in smart cities, automated industry, and emerging businesses. |
| Altri titoli varianti: | Machine learning |
| Titolo autorizzato: | Machine Learning |
| ISBN: | 1-83881-418-3 |
| 1-78923-753-X | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910317790103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |