H.C. Ørsted Lecture


Lecturer
Professor Zoubin Ghahramani, Department of Engineering, University of Cambridge

Title
Probabilistic Machine Learning:  Artificial Intelligence and the Automation of the Data Sciences

Abstract
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

Tidspunkt

man 24 apr 17
14:00 - 16:00

Arrangør

DTU

Kontaktperson

Hvor

Technical University of Denmark
Building 303A, Auditorium 42
Asmussens Allé
2800 Kongens Lyngby