The GRADnet Machine Learning and AI workshop was attended by over 40 PGRs and postdocs on 15-16 January 2020 at QMUL in Mile End Road, London.
Delegates were interested in learning about AI and ML techniques and the potential ways they can be implemented in their own research. The diversity of talks and tutorials was welcomed by everyone and the support available from all the speakers.
“Data wrangling was great because we got to learn how to use R, Python, SQL” ; “hands-on tutorials and exercises with support were the best aspects of the programme” and “speakers were engaging” were some of the comments from delegates.
SEPnet would like to thank all the speakers and QMUL staff who contributed in making this workshop a success and thank you QMUL for hosting the event.
Joe Davies, PGR at QMUL who kindly ran one of the sessions said: “My first time running my own tutorial/talk using my own coding examples and it went so well! Managed to get people finding pulsars using Machine Learning and had such an interesting discussion afterwards #datascience #machinelearning #GRADnet” . See here for further information.
GRADnet would like to offer this workshop again as part of their training programme in 2020-21 as many PGRs are interested in data science as a career.
Dr Adrian Bevan, Deputy Director of the Institute of Applied Data Science, QMUL introducing Dr Alkistis Pourtsidou, UKRI Future Leaders Fellow and Reader in Cosmology, QMUL, before her talk on “Reinforcement Learning”.