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edit approved Apr 3, 2023 at 17:30
Random Nerd
edit approved Apr 3, 2023 at 17:30
Random Nerd
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Data science, AI, NLP, and visualization are changing so fast. I wonder if there is a way/blog that shares the latest updates and recommended approach using certain techniques or avoid using others. For example, many NLP books are old and they would provide examples using TF-IDF. However, nowadays there are much better approaches but they are also changing fast. I am hoping to find some source that would say use these new techniques and avoid using those old techniques. Searching the web can help, but will bring back a lot of noise.

Data science, AI, NLP, and visualization are changing so fast. I wonder if there is a way/blog that shares the latest updates and recommended using certain techniques or avoid using others. For example, many NLP books are old and they would provide examples using TF-IDF. However, nowadays there are much better approaches but they are also changing fast. I am hoping to find some source that would say use these new techniques and avoid using those old techniques. Searching the web can help, but will bring back a lot of noise.

Data science, AI, NLP, and visualization are changing so fast. I wonder if there is a way/blog that shares the latest updates and recommended approach using certain techniques or avoid using others. For example, many NLP books are old and they would provide examples using TF-IDF. However, nowadays there are much better approaches but they are also changing fast. I am hoping to find some source that would say use these new techniques and avoid using those old techniques. Searching the web can help, but will bring back a lot of noise.

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Thomas Lee
Thomas Lee
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How to know the statstate-of-the-art recommended approaches for data science?

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Thomas Lee
Thomas Lee
  • 155
  • 7

How to know the stat-of-the-art recommended approaches for data science?

Data science, AI, NLP, and visualization are changing so fast. I wonder if there is a way/blog that shares the latest updates and recommended using certain techniques or avoid using others. For example, many NLP books are old and they would provide examples using TF-IDF. However, nowadays there are much better approaches but they are also changing fast. I am hoping to find some source that would say use these new techniques and avoid using those old techniques. Searching the web can help, but will bring back a lot of noise.