ML Practitioner Shares Key Lessons on Proactivity, Blocking, and Planning

James Okafor

AI Research CorrespondentMar 25Towards Data Science✓Verified across 1 source

The Brief

A Towards Data Science contributor outlines three critical practices for machine learning work: proactivity in identifying issues, blocking distractions, and strategic planning. The piece reflects on lessons learned over the past month in applying these principles to ML projects.

✓Verified across 1 independent source

Sources

01https://towardsdatascience.com/the-machine-learning-lessons-ive-learned-this-month-5/

ML Practitioner Shares Key Lessons on Proactivity, Blocking, and Planning

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