• Domain expertise is (often) process-focused; machine learning is prediction-focused.
• Domain knowledge is designed for humans; machine learning is designed for machines.
• Domain expertise is (often) theory-driven; machine learning is data-driven.

What to do, as a machine learning expert, when the machine learning model is at odds with domain knowledge?

Embrace it.

Brunson recently jokingly asked what Hart (career NBA scoring average of 9.8 PPG) does to earn his $12 million salary, and Hart said,

"Run around like an idiot during the game and just f--- s--- up.”