Machine Learning for Networking

Discover the cutting-edge insights in "Machine Learning for Networking" by Éric Renault, published by Springer Nature Switzerland AG in 2019. This comprehensive volume features the thoroughly refereed proceedings from the First International Conference on Machine Learning for Networking (MLN 2018), held in Paris, France. With a total of 388 pages, this book includes 22 meticulously revised full papers, selected from 48 submissions, showcasing the latest advancements and research in the intersection of machine learning and networking. Ideal for researchers, practitioners, and enthusiasts, this edition offers invaluable knowledge and innovative approaches to enhance networking technologies through machine learning. Dive into this essential resource and elevate your understanding of the future of networking.