Natural Language Processing - Introduction (pdf)
Natural Language Processing
-
- 5 Rating
- 1 Reviews
- 3 Students Enrolled
Natural Language Processing
Natural Language Processing
-
- 5 Rating
- 1 Reviews
- 3 Students Enrolled
Course Content
14 courselets
|
|
2 M |
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Foundations and Statistical Language Models (pdf)
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376.83 K |
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NLP - Neural Language Models (pdf)
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301.68 K |
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NLP - Recurrent Neural Networks (pdf)
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309.36 K |
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NLP - Sequence-to-Sequence Models (pdf)
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431.84 K |
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NLP - The Transformer Revolution (pdf)
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395.77 K |
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NLP - Pre-trained Language Models (pdf)
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361.71 K |
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NLP - Advanced Transformers (pdf)
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455.89 K |
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NLP - Tokenization and Subword Models (pdf)
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335.17 K |
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NLP - Decoding Strategies (pdf)
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466.13 K |
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NLP - Fine-tuning and Prompt Engineering (pdf)
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419.83 K |
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NLP - Efficiency and Deployment (pdf)
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517.48 K |
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NLP - Ethics and Future Directions (pdf)
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420.29 K |
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NLP - Predicting the next word (pdf)
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703.25 K |
Requirements
- Statistics
General Overview
Description
Natural Language Processing
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