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#71 Scaling Machine Learning Adoption: A Pragmatic Approach
DataFramed
Data Science and Machine Learning
I think any k pi needs to be taken with a grain of salt. You can't just roptomize and overfit right on one feature, because then you're making a bad prediction that doesn't conform to the real world. Thereis a great opportunity to integrate rex management best practices when disployd deploying machine learning models,. Said, scale and pivoting away into the future.
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