In the previous blog post, we have introduced algorithmic differentiation. We have seen how it works, focusing on its forward mode, and have illustrated with an example in Python relying on operator overloading.
In this post, we tackle the backwa...
This blog post attempts to give an introduction to algorithmic differentiation. It tackles forward AD, while backward AD will be the subject of another one.
What is AD, and what is it for?
Let’s consider a computer program that takes some inputs...
You’re good with R? You want to build cool interactive interfaces to share your work with your colleagues (or with the rest of the world) but don’t know any HTML/CSS/Javascript?
Look no more, Shiny is what you need!
In this blog post, we will se...
As a data science enthusiast, and in my work, I often use R and Python which are two of the most exciting interpreted languages out there today.
In R, the tidyverse packages collection has quickly become a reference for data science.
It offers da...
The idea to create a blog where I would share some thoughts, tips and tutorials was on my mind for some time.
After finally getting around to it, I thought the first post should be on how I did it to save some time to people in the same situation....