Astroinformatics school program - "Rise of the machines"

Rise of the machines: An introduction to machine learning

The school will take place over three days (Mon-Wed). It will be followed by the 2019 ANITA workshop.

Topics covered will include:

  • Classification
  • Regression
  • Clustering
  • Deep learning

Speakers are listed below, followed by the schedule. Some sessions require preparation or specific software, details of which are listed here.

Speakers

Lachlan Cambpell (Pawsey): Machine learning

Rebecca Lange (ADACS/Pawsey): Machine learning

Topic descriptions

Schedule
Monday 4th February

8:30 - 9:00 —Registration and coffee —
9:00 - 10:30 Session I Introduction to ML
10:30 - 11:00 —Coffee Break —
11:00 - 12:30 Session II Data preparation and ML workflow overview
12:30 - 13:30 —Lunch —
13:30 - 15:00 Session III Classification & Regression
15:00 - 15:30 —Coffee Break —
15:30 - 17:00 Session IV Clustering and dimensionality reduction
17:00 —Social night —

Tuesday 5th February

9:00 - 10:30 Session I Intro to artificial neural networks (ANN)
10:30 - 11:00 —Coffee Break —
11:00 - 12:30 Session II ANN continued
12:30 - 13:30 —Lunch —
13:30 - 15:00 Session III Introduction to convolutional neural networks (CNN)
15:00 - 15:30 —Coffee Break —
15:30 - 17:00 Session IV CNN continued

Wednesday 6th February

9:00 - 10:30 Session I domain specific examples/tutorials
10:30 - 11:00 —Coffee Break —
11:00 - 12:30 Session II domain specific examples/tutorials
12:30 - 13:30 —Lunch —
13:30 - 15:00 Session III Hack session
15:00 - 15:30 —Coffee Break —
15:30 - 17:00 Session IV Hack session
17:00 - 18:30 —Social Dinner (TBC) —
Preparation

Software

  • Machine Learning intro (Day 1): jupyter, python3, numpy, scipy, matplotlib, astropy
  • Deep Learning intro (Day 2): jupyter, python3, numpy, matplotlib, keras