Michael Burke

Michael Berk, a data scientist at Tubi, specializes in A/B testing and machine learning for streaming services. He dives into how A/B testing proves causality, emphasizing its crucial role in data-driven decisions for businesses. The discussion contrasts frequentist and Bayesian methodologies, highlighting sample size importance. Berk also shares insights on adapting to varying business environments and the shift from viewer count to watch time metrics in streaming. He wraps up with thoughts on the need for clear communication of data science principles to engage interest in machine learning.