Unleashing the Full Potential of Your Recommender System in Production

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