Your question is Core ML Concepts Check. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you explain the least squares equivalent used in logistic regression, the difference between bagging and boosting, the bias-variance tradeoff, and the difference between a stack and a queue?