-
A Brief History of Machine Learning Before the Deep Learning Boom
A brief history of machine learning before the deep learning boom: the Perceptron, two AI winters, and the statistical learning era that quietly bridged them.
-
Self-Supervised Learning Explained
Self-supervised learning explained: the key insight that let language models train on massive unlabeled data without costly human labeling.
-
Training Your Own Small Machine Learning Model from Scratch
Training your own small, task-specific machine learning model from scratch, and why data preparation — not the training code — is the real bottleneck.
-
Supervised vs Unsupervised Learning Explained
Supervised vs unsupervised learning explained with concrete code examples, and where modern LLM training actually fits between the two.