https://github.com/iancze/cfaml

Collaborative repository for the Machine Learning Reading group at CfA
https://github.com/iancze/cfaml

Last synced: about 1 month ago
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Collaborative repository for the Machine Learning Reading group at CfA

• Host: GitHub
• URL: https://github.com/iancze/cfaml
• Owner: iancze
• License: mit
• Created: 2014-10-02T05:37:03.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-11-04T14:22:12.000Z (about 10 years ago)
• Last Synced: 2024-03-17T22:52:36.327Z (10 months ago)
• Language: Python
• Size: 1.53 MB
• Stars: 1
• Watchers: 9
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
CfAML

=====

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Collaborative repository for the Machine Learning Reading group at CfA

To email the list: `[email protected]`

Sign up sheet to talk is [here](https://docs.google.com/spreadsheets/d/1d9vLzKhivlN5S5b9sttyAtzCkGKEZhscsOPHJuakWm8/edit?usp=sharing).

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](http://www.gaussianprocess.org/gpml/chapters/RW.pdf)

* Press et al.: *Numerical Recipies*

### Papers/Tutorials

* Hogg et al. 2010 : *Data analysis recipes: Fitting a model to data* [PDF](http://arxiv.org/pdf/1008.4686v1)

* Hogg et al. 2012 : *Data analysis recipes: Probability calculus for inference* [PDF](http://arxiv.org/pdf/1205.4446v1)