In [1]:
from IPython.core.display import display,HTML
display(HTML('<style>div.prompt {display:none}</style>'))
display(HTML('<style>div.input{display:none;}</style>'))


**NOTICE**: We're looking for more speakers!!
If you would like to present, fill out our super quick speakers form

Click a poster below to view the webinar recording.

Note that the talk on "Responding to disasters and enhancing 3D images with
synthetic datasets"
is in two parts. The link for part 2 is under the poster image.

No video for this event
Slides - C. Webster
Slides - S. Johnson
Video - GANs
Slides - A. C. Quiros
Slides - V. Kapitany
Slides - C. Higham
Video - VAEs
Slides - B. Jensen
Slides - F. Tonolini
Slides - C. Daube
Video - Cancer research and Asteroids
Slides - C. Walsh
Slides - G. Viavattene

Video Pt.1: A. Hepburn
Video Pt.2: X. Gu
Slides - A. Hepburn
Video - GPs
Slides - D. Dalton
Slides - A. Uhrenholt
Video Pt.1: J. Lindsay
Video Pt.2: J. Mitton
Slides - J. Lindsay
Slides - J. Mitton
Video - Resources
click here for links to resources (Updated:02/11/2020)

Video - RNNs
Video - RL
Video - EdgeML
Video - Interpretability
Slides - Y. Jones
Slides - A. Hepburn





Follow us on Twitter




Sign up to our mailing list

1. Go to UoG sympa page: https://www.gla.ac.uk/myglasgow/it/emaillists/

Note: You must be on a UoG server, for off-campus access use a VPN https://www.gla.ac.uk/myglasgow/it/vpn/


2. Log in

3. Search "mlinscience"

4. Click subscribe and enter email address




Join our Machine Learning
in Science slack workspace




Subscribe to our samoa events page





Interested in speaking at one of the seminars?

Fill out this quick speakers form
or email us at scieng-mlinscience@glasgow.ac.uk and we'll be in touch!

Our aim is to create a community of researchers who can share knowledge
about machine learning to enhance research, develop skills relevant
for industry and encourage interdisciplinary collaboration.