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 blog.lukesalamone.com
Optimal Ask :: Luke Salamone's Blog
| | glowingpython.blogspot.com
The Glowing Python: Visualizing distributions with scatter plots in matplotlib
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| | Let's say that we want to study the time between the end of a marked point and next serve in a tennis game. After gathering our data, the fi...
| | dm13450.github.io
Julia Code for Sampling an AR(1) model | Dean Markwick
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| | In my previous blog post I outlined the basic AR(1) model and the necessary maths needed to infer the unknown parameter \(\phi\). In this post I will outline some basic Julia code to build a MCMC sampler for such a model to infer the unknown parameter \(\phi\).
| | www.paepper.com
Monte Carlo for better time estimates of your work :: Päpper's Machine Learning Blog - This blog features state of the art ap...
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| | As a developer, you are often asked how long it will take to program a certain module or feature for some software project. This can be annoying at times, so let's make it more fun! In this post, we are going to use a data science approach to get up with better estimates. The whole post will be covered by simple Python code, which you can easily use for your own estimates.
| | dsaber.com
Bayesian Regression with PyMC: A Brief Tutorial - Dan Saber
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| Warning: This is a love story between a man and his Python module As I mentioned previously, one of the most powerful concepts I've really learned at Zipfian has been Bayesian inference using PyMC. PyMC is currently my favorite library of any kind in any language. I dramatically italicized "learned" because I had been taught...