Programme

The first day of the workshop is devoted to more tutorial material based for those wishing to get up to speed with the subject. The following two days will be presentations from those using the techniques.

The talks will all be of the format:

• 30 min = 25 min talk + 5 min questions

Powerpoint files will be collected from speakers as far in advance of their respective talks as possible. Speakers are therefore requested to submit a version of their talk to the organisers.

All talks will take place in lecture theatre C-27 in the main physics building.

Lunch and morning/afternoon tea/coffee will be provided on both days in room C-14 (alongside the posters).

Schedule

The schedule will appear here when it has been approved.

Monday 10th September

Various pedagogical talks, for anyone (PhD student to Professor) who wants to learn about machine learning and astronomy applications.

The outline plan for the day will follow something like the following.

• 9:30-10:00 Registration and Coffee
• Introduction to machine learning. What it is and how it works. Adam Moss
• New techniques in machine learning. Some of the new methods and ways of working with the techniques. Mike Pound
• Machine learning workshop. This may be a more hands on session where attendees can try running examples. Steven Bamford
• Using docker to make porable machine learning environments. Nan Li

Tuesday 11th September

Normal workshop talks and posters.

Wednesday 12th September

Normal workshop talks and posters.