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.
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I don’t see the book on Amazon still. Any updates?
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On Feb 3, 2020, at 6:52 PM, Brigitta Sipocz <bsi...@gmail.com> wrote: