878: In Case You Missed It in March 2025
Super Data Science: ML & AI Podcast with Jon Krohn
A Guide to Experimentation in Machine Learning
This chapter introduces a playbook designed to aid practitioners in selecting experiments for their machine learning workflows. It highlights an adaptable approach while advocating for iterative decision-making based on real-time feedback.
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