[AstroPy] astroML workshop at the 235th AAS Meeting

[Brigitta Sipocz]

Dear All,

Registration is open for the upcoming astroML workshop
<http://www.astroml.org/workshops/AAS235.html>. The workshop will be held
at the AAS winter meeting, Monday, 6 January 2020.

This workshop will introduce the astronomical community to the 2nd edition
of the book *Statistics, Data Mining, and Machine Learning in Astronomy*
and the associated software package astroML. The goal is to introduce
participants to a variety of statistical and machine learning tools
available within the open source astroML library. The format will be
interactive, including short presentations on different machine learning
methodologies followed by instructor-guided, Jupyter notebook based
tutorials. In these tutorial sessions participants will be able to try out
the tools and to ask questions from expert users and developers.

Our primary focus will be on the new material and applications in the 2nd
edition of the book. These include:

   -

   Traditional machine learning techniques for density estimation,
   -

   Approximate Bayesian computation,
   -

   Hierarchical Bayesian models,
   -

   Autoencoders as tools for data compression,
   -

   Deep learning and convolutional neural networks.

In each tutorial example applications will be based on astronomical use
cases and data sets. At the end of the workshop we will present a roadmap
for future developments in astroML.

This workshop is suitable for those with existing Python knowledge,
including familiarity with the core packages in the numerical Python
ecosystem such as numpy, scipy, scikit-learn, and matplotlib.
Registration is open on the website of the meeting:
https://aas.org/meetings/aas235


On behalf of the organizers,
 Brigitta Sipőcz
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