Machine Learning - Advanced Techniques and Emerging Applications
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 rea...
| Autor principal: | |
|---|---|
| Formato: | Libro |
| Publicado: |
IntechOpen
2018
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4007294&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4007294 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Machine Learning - Advanced Techniques and Emerging Applications aug: au: Hamed Farhadi isbn: 9781789237528 9781838814182 imageinfo: pubinfo: dt: @attributes: year: 2018 month: 01 day: 01 dtAvail: @attributes: year: 2024 month: 10 day: 04 pub: IntechOpen pubContract: Intech Open place: London price: 0.01 limitsGroup: maxCheckoutDays: 1500 pda: N printPagesOffline: 100 printPagesOnline: 100 previewPages: 10000 prePubGroup: dewey: @attributes: class: 006.31 item: 006 .31 lc: @attributes: class: Q325.5 item: Q 325 .5 artinfo: ui: 4007294 1454132294 formats: fmt: @attributes: type: EB doid: NL$4007294$PDF caption: PDF download: Y tig: atl: Machine Learning - Advanced Techniques and Emerging Applications ptl: Machine Learning - Advanced Techniques and Emerging Applications aug: au: Hamed Farhadi su: Internet of things Machine learning Big data sug: subj: COMPUTERS / Artificial Intelligence / General Internet of things Machine learning Big data ab: 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. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
|---|