Explore in-database factorised learning with Professor Dan Olteanu in this one-hour seminar from the Alan Turing Institute. Delve into advanced database concepts, including relational and XML query processing, incomplete information, probabilistic databases, and factorised databases. Learn about the evolution of database integration, from loose to tight integration, and understand the advantages of unified programming architectures. Examine practical applications such as linear regression, encoding categorical variables, and optimizing queries. Discover how conditional independence and factorizations can improve database performance. Investigate functional dependencies, penalty terms, and polynomial regression in the context of factorised learning. Gain insights into feature extraction techniques and their impact on database efficiency.