a hard question about hyperplane projections, the probability of two dices summing 6 and effect of confounders in a linear regression.
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Q: Describe the "bias-variance tradeoff"
why buildOn?
Why BuildOn?
Why did I apply for the role
How you identify/select which ML algorithm will suit the given problem.
Is dropout ever used at inference time.
How would you incorporate diversity in your training?
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