Professor Zoubin Ghahramani, Department of Engineering, University of Cambridge
Probabilistic Machine Learning: Artificial Intelligence and the Automation of the Data Sciences
How can a machine learn from experience? Probabilistic modelling provides a mathematical framework for understanding what learning is, and has therefore emerged as one of the principal approaches for designing computer algorithms that learn from data acquired through experience. The field of machine learning underpins recent advances in artificial intelligence, and data science, and has the potential to play an important role in scientific data analysis. I will highlight some current areas of research at the frontiers of machine learning, including our project on developing an Automatic Statistician.
Registration for the lecture http://www.tilmeld.dk/Zoubin