Machine Learning in Astronomy: Overview

This is  the wiki for an informal group interested in developing techniques for machine learning in astronomy and astrophysics, in areas such as source extraction and classification, redshift measurement, transient detection, and detecting the unexpected, with a particular focus on extracting science from data from large survey projects. The group is hosted by Western Sydney University (WSU) and CSIRO, but is an open, informal group, and anyone interested in working in this area is welcome to join. 

Communication is through three mechanisms: 

• The wiki which you are now reading  This wiki is world-readable, but only registered members can write to it.. 
• A listserver whose mails to members start the subject with [MLprojects]
• A regular zoom research meeting every other Thursday (see below)

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