Novel machine learning techniques such as convolutional neural networks or deep learning allow to tackle realworld problems. At the same time local computer networks and the Internet face threats unseen before. With emerging machine learning paradigms we can detect and counteract them. We can also approach identifying software defects and hardware faults in networks as well as seasonality of the traffic. The Session will provide an opportunity for researchers working with machine learning to showcase their developments in the field computer network traffic analysis and will be a forum to bring these two areas of research together and elicit fruitful discussions.