CfAML


Collaborative repository for the Machine Learning Reading group at CfA

To email the list: [email protected]

Sign up sheet to talk is here.

Please feel free to update this repository with any additional information or references you find!

References

Textbooks

• Bishop: Pattern Recognition and Machine Learning
• Ivezic et al.: Statistics, Data Mining, and Machine Learning in Astronomy
• Sivia : Data Analysis : A Bayesian Tutorial
• Krushcke : Doing Bayesian Data Analysis
• Rasmussen and Williams : Gaussian Processes for Machine Learning PDF
• Press et al.: Numerical Recipies

Papers/Tutorials

• Hogg et al. 2010 : Data analysis recipes: Fitting a model to data PDF
• Hogg et al. 2012 : Data analysis recipes: Probability calculus for inference PDF