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title: Example Title | ||
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For those who want to convert: Talk about libraries and frameworks that I've learnt and used (regex, spacy, annotation tools) + other learning resources (spacy course, HF course...), [blogpost Leticia](https://www.paradigmadigital.com/techbiz/de-la-linguistica-computacional-al-prompt-engineering/) | ||
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👩🏻💻 Programming and formal languages: | ||
- Regex or Regular expressions: https://en.wikipedia.org/wiki/Regular_expression | ||
- Python: This is the most popular language for NLP and computational linguistics. | ||
- Git: version control. | ||
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📚 Python libraries: | ||
- SpaCy: | ||
- Pandas: | ||
- Datasets: | ||
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✍️ Annotation tools: | ||
- Prodigy: | ||
- Label Studio: | ||
- Argilla: | ||
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👩🏫 Recommended courses: | ||
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| Course | Language | Free? | Good for... | | ||
| ------------------------------------------------------------------------------------------------------------------------- | ------------------ | -------------------------------------- | ------------------------------------------------------------------------------------------------------ | | ||
| [AI Python for Beginners](https://www.deeplearning.ai/short-courses/ai-python-for-beginners/ ) | English | Yes! | ...getting your first contact with Python and learn how to get AI to help you in your learning journey | | ||
| [Udemy NLP with Python]( https://www.udemy.com/course/nlp-natural-language-processing-with-python/?couponCode=BFCPSALE24) | English | No, but you can get generous discounts | ...understanding different tasks that you can achieve with more traditional NLP libraries | | ||
| [SpaCy NLP Course]( https://course.spacy.io/en/ ) | Multiple languages | Yes! | + colab notebooks (no setup needed) | | ||
| [Hugging Face NLP Course](https://huggingface.co/learn/nlp-course) | Multiple languages | Yes! | + colab notebooks (no setup needed) | | ||
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🔧 Skills: | ||
Rather than the skills that you need to get started, these are the skills that you will develop as you dive deeper into coding and NLP. | ||
- Logic thinking: regexes and coding | ||
- Corpus building: for annotations | ||
- Error handling: |
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