Data Quality Insights
Simple analysis on high-quality data often leads to success, emphasizing the importance of schemas and immediate data quality checks. Fast, adaptive responses to new data are crucial, especially when utilizing contextual bandits over traditional A/B testing. The conversation also touches on the unique weather phenomena in San Francisco, highlighting a blend of personal interests and professional insights.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
665: How to be socially impactful and financially successful in your data career — with Josh Wills
Related Questions