Surprising predictors: salad dressing

On episode 7 of Data Renegades, CL Kao and Dori Wilson sit down with Bryan Bischof to explore his journey from pure mathematics to building real-world ML systems. They dig into recommender systems, surprising data bugs, and why truth-seeking should guide data teams. The conversation also covers modern data tools, visualization limits, and the realities of “self-serve” analytics.

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