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cfaml's Introduction

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

cfaml's People

Contributors

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