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March 25, 2019 08:08
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Blogs I should read
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Blogs, software packages, etc. I don't list really well known things here :) |
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List of websites I should follow, in random order, mainly machine learning, data science and statistics. | |
http://andrewgelman.com/ | |
https://xianblog.wordpress.com/ | |
http://www.datatau.com/ | |
http://flowingdata.com/ | |
http://hunch.net/ | |
https://studywolf.wordpress.com/ | |
http://www.overcomingbias.com/ | |
https://www.lesswrong.com/ |
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R: | |
Rmpfr - accurate floating point calculations: deciding whether you have numerical problems or you should search for some other bug. | |
RStan, rjags - interface to Stan/Jags: Bayesian inference, you just specify your model, then magic happens. Stan is more efficient, also more involved. | |
gcbd - performance comparison: start here for GPU computing or using other matrix algebra software (BLAS, Atlas, ...). |
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