An Illustrated Guide to Graph Neural Networks
Graph Deep Learning (GDL) is an up-and-coming area of study. It’s
super useful when learning over and analysing graph data. Here, I’ll
cover the basics of a simple Graph Neural Network (GNN) and the
intuition behind its inner workings.
Source: An Illustrated Guide to Graph Neural
an article by Rishabh Anand.
What is Benford’s Law and why is it important for data science?
We discuss a little-known gem for data analytics — Benford’s law,
which tells us about expected distribution of significant digits in
a diverse set of naturally occurring datasets and how this can be
used for anomaly or fraud detection in scientific or technical
Source: What is Benford’s Law and why is it important for data
an article by Tirthajyoti Sarkar.
A Guide to Big O notation
You have probably come across big O notation before. Maybe you have
read that merge sort is better than insertion sort because merge
sort is O(n log n) compared to insertion sort, which is
O(n2). In this article, you'll understand what this
means, and why this makes merge sort the better algorithm.
Source: A Guide to Big O
notation, an article by Erik André Jakobsen.