ABOUT THE TALK: In this talk, Fedor Zhdanov explains how to combat the concept of drift in ML with crowdsourcing. He shows you how to build complex drift-monitoring systems and human-in-the-loop ML models that can be fully automated. He also shares how this has led him and his team to start building so-called “adaptive ML models”. Learn what they are and how to build and maintain them.

ABOUT THE SPEAKER: Fedor Zhdanov is the Head of AI at Toloka, who had previous roles as Principal Applied Scientist at AWS, Microsoft and Amazon. Fedor has been creating products with R&D in Machine Learning for the last 18+ years. For the last 6 years, he has been focusing on connecting ML and humans in human-in-the-loop processes. His ventures are focused on building responsible state of the art AI-first business solutions with human oversight.

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