# Similarity and distance: every numerical step

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/read/u2-similarity

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/read-chapter/u2-similarity/

Unit 2 · PDF pages 93–103

1. [Cosine: products, lengths and division](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u2-similarity--u2-cosine/)
2. [Jaccard: intersection, union and distance](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u2-similarity--u2-jaccard/)
3. [Manhattan, Euclidean and Minkowski: three complete comparisons](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u2-similarity--u2-distances/)
4. [Choose the representation before the metric](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u2-similarity--u2-choice/)