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Natural Language Processing (NLP)
Master NLP from tokenization and embeddings to transformer models and production pipelines — build real language AI systems step by step.
4 sections·11 lessons
What you'll learn
1. Foundations of NLP
- What Is NLP and Why It Matters
- Tokenization: Splitting Language Into Units
- Visualizing the Tokenization Process
2. Word Embeddings and Semantic Meaning
- From Tokens to Vectors: Word Embeddings
- The Geometry of Meaning
- Sentiment Analysis: Reading Emotion in Text
3. Named Entity Recognition and Transformers
- Named Entity Recognition (NER)
- Transformers: The Architecture That Changed Everything
- Inside the Transformer: Self-Attention
4. Building Production NLP Pipelines
- Assembling an End-to-End NLP Pipeline
- NLP Mastery Quiz
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