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The power of error analysis, tree models for search relevancy, what ChatGPT means for data scientists - Sergey Feldman - The Data Scientist Show #059
The Data Scientist Show
Machine Learning
In LightGVM, the reason can be that a model didn't converge or learn. The issue is the features. A lot of our work is in getting the data feature engineering and do error analysis. It's hard to find the time to learn a new toolkit every five months. Despite how wonderful they are, there's a lot of great tools out there constantly being made by people who put open source.
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