Deep Learning – Making Humans Obsolete One Layer at a Time - Miroslaw Horbal

Part of the Data Science for Game Analytics event. Applying deep learning techniques to learn player representations for modelling, clustering, and visualization. Using techniques for learning word embeddings, category embeddings, sentence embeddings, and low-dimension projections with T-SNE we are able to develop clustering and visualization tools to quickly explore and analyse player behaviours via an interactive web application. These tools allow us to identify emerging player behaviour, balance issues