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Linked pages
- Bayesian Methods for Hackers http://camdavidsonpilon.github.io/probabilistic-programming-and-bayesian-methods-for-hackers/ 129 comments
- Stan - Stan https://mc-stan.org/ 127 comments
- http://probcomp.csail.mit.edu/bayesdb/ 116 comments
- Gaussian Processes for Machine Learning: Book webpage http://www.gaussianprocess.org/gpml/ 26 comments
- Monte Carlo method - Wikipedia https://en.wikipedia.org/wiki/Monte_Carlo_method#History 24 comments
- Frequentism and Bayesianism V: Model Selection | Pythonic Perambulations https://jakevdp.github.io/blog/2015/08/07/frequentism-and-bayesianism-5-model-selection/ 11 comments
- http://www.automaticstatistician.com/ 7 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA 3 comments
- Your Azure Function App is up and running. http://research.microsoft.com/en-us/um/cambridge/projects/infernet/ 3 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z 3 comments
- Statistical Rethinking | Richard McElreath http://xcelab.net/rm/statistical-rethinking/ 1 comment
- Latent Dirichlet allocation - Wikipedia https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation 0 comments
- http://pymc-devs.github.io/pymc3/ 0 comments
- What my deep model doesn't know... | Yarin Gal - Blog | Cambridge Machine Learning Group http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html 0 comments
- [1601.00670] Variational Inference: A Review for Statisticians https://arxiv.org/abs/1601.00670 0 comments
- GitHub - probcomp/bayeslite: BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. https://github.com/probcomp/bayeslite 0 comments
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