Automated Feature Engineering
Moses and Kyle discuss the evolution of feature engineering in computer vision and NLP, highlighting the shift towards automated feature extraction. They explore the potential for similar progress in tabular data and the implications for model interpretability and AI explainability. The conversation also touches on the maturation of the machine learning market and the need for a shift towards a CI/CD process in ML solutions.In this clip
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