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A01 · Natural Language Processing Foundations

A free, illustrated L2 course of 9 modules in the Applied AI track. Modules include: Text as data; Tokenization and normalization; N-gram language models.

A01 L2 · Intermediate 9 modules · about 36 lessons Planned · Ring 3

Part of the Applied AI track. Ships in Ring 3 (Breadth) of the roadmap.

Modules

  1. Text as data
  2. Tokenization and normalization
  3. N-gram language models
  4. Text classification
  5. Word vectors
  6. Sequence labeling
  7. Parsing and structure
  8. Translation and summarization as tasks
  9. Evaluation in NLP

Signature illustrations

The pictures a learner should still see in their head a year later:

Tokenization step by step, n-gram probability trees, analogies in embedding space, tagging lattices.

Status

This course is planned, not written yet. It ships with Ring 3 (Breadth).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.

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