Graph-Powered Machine Learning - Meetup Paris - March 5, 2018 Graph -based machine learning is becoming an important trend in artificial intelligence, transcending a lot of other techniques. Using graphs as a basic representation of data for multiple purposes: - the data is already modeled for further analysis - graphs can easily combine multiple sources into a single graph representation and learn over them, creating Knowledge Graphs; - improving computation performances and quality. The talk will present these advantages and present applications in the context of recommendation engines and natural language processing. Speaker: Dr. Vlasta Kus (@VlastaKus) is a Data Scientist at GraphAware, specializing in graph-based Natural Language Processing and related topics, including deep learning techniques. He speaks English, Czech and some French and currently lives in Prague.