Some asked me about concept drift so here you go.
A predictive ML model learns theta to output P(Y|X; theta).
Data drift is when P(X) changes: different data distributions, different feature space.
Ex: service launched in a new country, expected features becoming NaNs.
1/5
A predictive ML model learns theta to output P(Y|X; theta).
Data drift is when P(X) changes: different data distributions, different feature space.
Ex: service launched in a new country, expected features becoming NaNs.
1/5