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Machine Learning - Data Centric Focus Is a Key Way to Succeed
Most teams out there are applying algorithm on models, uh, on their data sets. They're basically tuning some hypo perimeter for the model and then training their model on their data set. If you're not building your own near network architectures, or tweaking the architecture for your use case, that's more than 90 percent of the cases. I think having a a key data centric focus is, uh, is a key way to succeed with, uh, working with instructed data. You got any horror stories for us?