Vectorization
Domain: NLP Fundamentals
🎯 Motivation
Converting text into numerical vectors that a model can process. Bag of words, TF-IDF, and embeddings all do this.
📋 Concrete Example
I love AI becomes [0.2, 0.8, 0.1, …] via embedding. Now the computer can do math on it.
🔗 Analogy
Like translating a poem into numbers - each word and its meaning become coordinates on a map.