Kaggle Practices
Tim and Sanyam discuss the disconnect between Kaggle practices and real-world production needs, highlighting the challenges in transitioning models from experimentation to deployment. They touch on the importance of incorporating engineering rigor and interpretability in machine learning pipelines for business success.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Kaggle, ML Community / Engineering (Sanyam Bhutani)
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