Tracing the path from early AI dreams to modern genomic applications - why biology needed machine learning, and what it took to get here
Unpacking the mathematics behind supervised learning - from linear regression to gradient descent to avoiding the common pitfalls
An introduction to clustering methods in biological data analysis
A gentle introduction to deep learning and where it fits in the machine learning landscape
A practical guide to version control - why you need it, how to use it, and what’s actually happening under the hood
How I set up this blog using Quarto and a custom theme—and why you might want to do the same
A bare-bones guide to getting up and running on South Africa’s Centre for High Performance Computing
A comprehensive walkthrough of Principal Component Analysis from theory to implementation in R
A practical guide to setting up Windows Subsystem for Linux for bioinformatics work—from installation to prettification