Discover a framework for creating exceptional machine learning products in this insightful 30-minute talk by Liran Hason, CEO of Aporia, at the Toronto Machine Learning Series. Explore the intricate connections between F1 scores, OKRs, Precision, and KPIs, and gain valuable insights into bridging the gap between Data Scientists and business stakeholders. Learn how to address common frustrations experienced in ML projects and develop strategies for aligning technical metrics with business objectives to drive successful outcomes.
Overview
Syllabus
The framework for great ML products
Taught by
Toronto Machine Learning Series (TMLS)
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