- I have experience with LLMs, but not with "traiditional" NLP models and methods. What books (or other resources) would you recommend as "NLP cookbooks"? I would like to have the basic theory (with pointers to deeper reading), use-cases and code samples for each "traditional" NLP model. https://www.coursera.org/specializations/natural-language-processing 5 comments languagetechnology
- Function with Multiple Sets of Parameters https://www.coursera.org/specializations/natural-language-processing 7 comments learnpython
Linking pages
- 30 Top Resources to Learn ML https://serokell.io/blog/top-resources-to-learn-ml 0 comments
- Top 10 Ideas for Your ML Project https://serokell.io/blog/machine-learning-project-ideas 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/okulbilisim/awesome-datascience 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/bulutyazilim/awesome-datascience 0 comments
- GitHub - will-thompson-k/tldr-transformers: The "tl;dr" on a few notable transformer papers (pre-2022). https://github.com/will-thompson-k/tldr-transformers 0 comments
- Meet The Winners of Swahili News Classification Challenge | by Davis David | Medium https://medium.com/@Davis_David/meet-the-winners-of-swahili-news-classification-challenge-60f5edd7aa9 0 comments
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