DeepMind/ELLIS CSML Seminar
Mihaela van der Schaar will give a presentation as part of the DeepMind/ELLIS CSML Seminar Series, hosted by University College London (UCL).
Why medicine is creating exciting new frontiers for machine learning
Medicine stands apart from other areas where machine learning can be applied. While we have seen advances in other fields with lots of data, it is not the volume of data that makes medicine so hard, it is the challenges arising from extracting actionable information from the complexity of the data.
It is these challenges that make medicine the most exciting area for anyone who is really interested in the frontiers of machine learning – giving us real-world problems where the solutions are ones that are societally important and which potentially impact on us all. Think Covid 19!
In this talk I will show how machine learning is transforming medicine and how medicine is driving new advances in machine learning, including new methodologies in automated machine learning, interpretable and explainable machine learning, dynamic forecasting, and causal inference.
Seminar series description:
The Computational Statistics and Machine Learning (CSML) Seminars present a range of talks representing the diverse interests of CSML. The talks range from invited external speakers to PhD and postdoc presentations designed to foster collaboration between the large number of machine learning and statistics researchers in CSML.
Mihaela’s presentation will take place on February 5 at 14:00 GMT.
Full list of time zones:
London, United Kingdom Fri, 5 Feb 2021 at 14:00 GMT
Paris, France Fri, 5 Feb 2021 at 15:00 CET
Beijing, China Fri, 5 Feb 2021 at 22:00 CST
New York, USA Fri, 5 Feb 2021 at 09:00 EST
San Francisco, USA Fri, 5 Feb 2021 at 06:00 PST
Click here for more time zones.