An interactive journey through the fundamentals of machine learning
Find the hidden pattern and learn how machines discover weights
From real-world predictions to choosing the right error measure
From predicting numbers to predicting yes/no answers
From points to vectors: the foundation of modern AI
From numbers to vectors to matrices—the foundation of neural networks
How AI captures the meaning of language
Activation functions, deep learning, and how neural networks learn complex patterns
Understanding the mechanism that revolutionized AI and powers modern transformers
Test-time compute, MoE, reasoning models, and the latest breakthroughs
From theory to production: Retrieval-Augmented Generation explained and deployed