Explore how to enhance recommender systems in production through effective monitoring and data-driven insights in this 36-minute workshop from the Toronto Machine Learning Series. Learn techniques for tracking model version behaviors, analyzing performance across data slices, and detecting data drift. Discover strategies to leverage real-time monitoring and production data insights to improve recommender system accuracy and drive better business outcomes. Gain valuable knowledge from Alon Gubkin, CTO & Co-Founder of Aporia, on taking recommender systems to the next level with actionable insights and performance optimization.
Unleashing the Full Potential of Your Recommender System in Production
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Syllabus
Unleashing the Full Potential of Your Recommender System in Production
Taught by
Toronto Machine Learning Series (TMLS)
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