Python Naming Conventions
module/file a_module/a_file.py from amodule.afile import AClass snake_case class AClass camel case function a_great_function() lower case underscore directories adirectory lower case no underscore
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Maximum Likelihood Estimation
The method of maximum likelihood estimation allows to estimate point parameters for a given distribution underlying some observed data. Let’s look at an example to understand what this means:Imagine you
Machine Learning
The Sigmoid and its Derivative
The simoid function, $\sigma(x)$, is also called the logistic function, or expit \textcite{wiki_logit}. It is the inverse of the logit function. It’s function definition is:\begin{equation}\sigma(x) = \frac{1}{(1+e^{-x})}%\tag{sigmoid function}\label{eqn:sigmoid}\end{equation} Let’s get
Machine Learning
What is a Logit?
The term logit has different meanings in math and in the TensorFlow library. In Ten-sorFlow it means “Per-label activations, typically a linear output. These activation energies are interpreted as unnormalized
How to create a random variable with a Beta distribution from scratch, using only Uniform random variables
You can use software, like scipy.stats.beta if you want to sample from a Beta distribution. But you can also create a Beta distribution yourself — from scratch. The only thing you need