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austinrochford.com | ||
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nelari.us
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| | | | | In inverse transform sampling, the inverse cumulative distribution function is used to generate random numbers in a given distribution. But why does this work? And how can you use it to generate random numbers in a given distribution by drawing random numbers from any arbitrary distribution? | |
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jaberkow.wordpress.com
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| | | | | Lately I have been making use of a continuous relaxation of discrete random variables proposed in two recent papers: The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables and Categorical Reparameterization with Gumbel-Softmax. I decided to write a blog post with some motivation of the method, as well as providing some minor clarification on... | |
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www.paepper.com
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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. | |
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www.jamesshore.com
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