Course · 2 ways to learn

Text & Language (NLP)

See how machines read text — interactive concepts and guided deep dives on tokenizers, search ranking, TF-IDF, Naive Bayes, word2vec, and more.

Who it's for

Anyone curious how NLP and language tools work under the hood.

What you'll learn

  • Understand how text becomes tokens, vectors, and probabilities
  • Watch search ranking, spell-check, and autocomplete computed live
  • Build intuition for edit distance, TF-IDF, and cosine similarity
  • See classic NLP models work — Naive Bayes, n-grams, word2vec

Course contents

  1. 01Strings, tokenization & representation
  2. 02Similarity, distance & retrieval
  3. 03Probabilistic & statistical NLP
  4. 04Embeddings, sequences & language models