Verwandte Artikel zu Machine Learning For Network Traffic and Video Quality...
Machine Learning For Network Traffic and Video Quality Analysis: Develop and Deploy Applications Using JavaScript and Node.js - Softcover
- VerlagApress
- Erscheinungsdatum2024
- ISBN 13 9798868803536
- EinbandTapa blanda
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten480
Neu kaufen
Diesen Artikel anzeigen
EUR 44,39
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Machine Learning For Network Traffic and Video Quality...
Beispielbild für diese ISBN
Machine Learning For Network Traffic and Video Quality Analysis: Develop and Deploy Applications Using JavaScript and Node.js
Anbieter: Buchpark, Trebbin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 478 | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 42818801/1
Anzahl: 3 verfügbar
Foto des Verkäufers
Machine Learning Network Traffic and Video Quality Analysis
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book offers both theoretical insights and hands-on experience in understanding and building machine learning-based Network Traffic Monitoring and Analysis (NTMA) and Video Quality Assessment (VQA) applications using JavaScript. JavaScript provides t. Bestandsnummer des Verkäufers 1516604597
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning For Network Traffic and Video Quality Analysis: Develop and Deploy Applications Using JavaScript and Node.js
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers I-9798868803536
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning Network Traffic and Video Quality Analysis : Develop and Deploy Applications Using Javascript and Node.js
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 47902966-n
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Machine Learning for Network Traffic and Video Quality Analysis
Print-on-DemandAnbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers both theoretical insights and hands-on experience in understanding and building machine learning-based Network Traffic Monitoring and Analysis (NTMA) and Video Quality Assessment (VQA) applications using JavaScript. JavaScript provides the flexibility to deploy these applications across various devices and web browsers.The book begins by delving into NTMA, explaining fundamental concepts and providing an overview of existing applications and research within this domain. It also goes into the essentials of VQA and offers a survey of the latest developments in VQA algorithms. The book includes a thorough examination of machine learning algorithms that find application in both NTMA and VQA, with a specific emphasis on classification and prediction algorithms such as the Multi-Layer Perceptron and Support Vector Machine. The book also explores the software architecture of the NTMA client-server application. This architecture is meticulously developed using HTML, CSS, Node.js, and JavaScript. Practical aspects of developing the Video Quality Assessment (VQA) model using JavaScript and Java are presented. Lastly, the book provides detailed guidance on implementing a complete system model that seamlessly merges NTMA and VQA into a unified web application, all built upon a client-server paradigm.By the end of the book, you will understand NTMA and VQA concepts and will be able to apply machine learning to both domains and develop and deploy your own NTMA and VQA applications using JavaScript and Node.js.What You Will LearnWhat are the fundamental concepts, existing applications, and research on NTMA What are the existing software and current research trends in VQA Which machine learning algorithms are used in NTMA and VQA How do youdevelop NTMA and VQA web-based applications using JavaScript, HTML, and Node.js Who This Book Is ForSoftware professionals and machine learning engineers involved in the fields of networking and telecommunications 465 pp. Englisch. Bestandsnummer des Verkäufers 9798868803536
Anzahl: 2 verfügbar
Foto des Verkäufers
Machine Learning For Network Traffic and Video Quality Analysis : Develop and Deploy Applications Using JavaScript and Node.js
Print-on-DemandAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers both theoretical insights and hands-on experience in understanding and building machine learning-based Network Traffic Monitoring and Analysis (NTMA) and Video Quality Assessment (VQA) applications using JavaScript. JavaScript provides the flexibility to deploy these applications across various devices and web browsers.The book begins by delving into NTMA, explaining fundamental concepts and providing an overview of existing applications and research within this domain. It also goes into the essentials of VQA and offers a survey of the latest developments in VQA algorithms. The book includes a thorough examination of machine learning algorithms that find application in both NTMA and VQA, with a specific emphasis on classification and prediction algorithms such as the Multi-Layer Perceptron and Support Vector Machine. The book also explores the software architecture of the NTMA client-server application. This architecture is meticulously developed using HTML, CSS, Node.js, and JavaScript. Practical aspects of developing the Video Quality Assessment (VQA) model using JavaScript and Java are presented. Lastly, the book provides detailed guidance on implementing a complete system model that seamlessly merges NTMA and VQA into a unified web application, all built upon a client-server paradigm.By the end of the book, you will understand NTMA and VQA concepts and will be able to apply machine learning to both domains and develop and deploy your own NTMA and VQA applications using JavaScript and Node.js.What You Will LearnWhat are the fundamental concepts, existing applications, and research on NTMA What are the existing software and current research trends in VQA Which machine learning algorithms are used in NTMA and VQA How do youdevelop NTMA and VQA web-based applications using JavaScript, HTML, and Node.js Who This Book Is ForSoftware professionals and machine learning engineers involved in the fields of networking and telecommunications. Bestandsnummer des Verkäufers 9798868803536
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Machine Learning Network Traffic and Video Quality Analysis : Develop and Deploy Applications Using Javascript and Node.js
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 47902966
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning Network Traffic and Video Quality Analysis : Develop and Deploy Applications Using Javascript and Node.js
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 47902966
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning Network Traffic and Video Quality Analysis : Develop and Deploy Applications Using Javascript and Node.js
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 47902966-n
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning For Network Traffic and Video Quality Analysis
Print-on-DemandAnbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798868803536
Anzahl: Mehr als 20 verfügbar