Predicting Network Behavior Using Machine Learning AI
Srividya Iyer, Caniv Tech
Artificial Intelligence and the related field of Machine Learning is being increasingly used in applications to learn from data in diverse domains. This has been enabled in recent years by increased data availability and improved ML/AI techniques. This talk will provide an overview of Machine Learning/Artificial Intelligence terminology and will look at different Machine Learning techniques that can be used to understand network behavior. It will specifically cover the Machine Learning techniques of classification, anomaly detection and prediction using real world examples. It will also look at the challenges in learning from network data and the benefits and limitations of Machine Learning applied to networking.