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Natural language processing (NLP)
How machines understand text: tokens, embeddings, NLP tasks.
Course program
Module 1
NLP basics
1
What NLP is
Free
2
NLP tasks: an overview
Free
3
Tokens: how a machine splits text
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Module 2
Text representation
4
How to represent text as numbers
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5
Context and transformers
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6
Pretraining and fine-tuning models
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Module 3
Classic tasks
7
Classification and sentiment analysis
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8
Information extraction (NER)
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9
Translation, summarization, answering
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Module 4
Modern NLP
10
From classic NLP to LLMs
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11
Bringing the NLP approach together
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