CMPSC 293N ML for Networked Systems
In recent years, the application of Machine Learning (ML) tools has extended beyond traditional domains like image classification and Natural Language Processing (NLP) to tackle a variety of classification, detection, and control problems. More notably, the adoption of ML in addressing networking issues has emerged as a significant area of interest. However, implementing ML solutions for networked systems presents unique challenges that go beyond merely adapting tools designed for other fields.