Machine Learning for Network Management
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Beschreibung
This book details how machine learning (ML) can be used in network management. Geared towards an upper undergraduate or graduate level class in machine learning or computer networks, the author showcases the intersection between ML/artificial intelligence (AI) and network management paradigms. The book includes practical methodologies and guidelines to realizing AI/ML-driven network management. The book also provides a landscape of AI/ML techniques more relevant to network management while also presenting AI/ML-based network management solutions deployed in production environments so students can explore applications. The book features homework problems, exercises, case studies, and PowerPoint slides.
- Presents network management challenges approached through the use of machine learning and reviews their solutions;
- Describes the machine learning applications to network management for real world use;
- Includes a full suite of classroom materials including exercises, Q&A, and examples.
This book details how machine learning (ML) can be used in network management. Geared towards an upper undergraduate or graduate level class in machine learning or computer networks, the author showcases the intersection between ML/artificial intelligence (AI) and network management paradigms. The book includes practical methodologies and guidelines to realizing AI/ML-driven network management. The book also provides a landscape of AI/ML techniques more relevant to network management while also presenting AI/ML-based network management solutions deployed in production environments so students can explore applications. The book features homework problems, exercises, case studies, and PowerPoint slides.
Presents network management challenges approached through the use of machine learning and reviews their solutions Describes the machine learning applications to network management for real world use Includes a full suite of classroom materials including exercises, Q&A, and examples
Autor*in
Oscar Mauricio Caicedo Rendon
Themen in »Machine Learning for Network Management«
Network management Zero touch network & service management Autonomous network management Supervised, Semi-supervised, and Unsupervised Learning Reinforcement Learning