This post is about writing readable code using chaining in both Python and R.
By the end of this post, your VS Code editor will move to the next line after running any code selection with Ctrl + Enter.
This post is about using background colors for visualizing uncertainty using R’s tidyverse.
In this post, we will build an autoregressive neural network using a few lines of R code.
In texts on statistics and machine learning, we often run into the terms standard deviation and standard error. They are both a measure of spread and uncertainty. In this post, we perform three experiments to see how standard deviation and standard error work in practice and how they relate to each other