Is machine learning safe to use? text here: https://gist.github.com/anonymous/135f3b05b63dbd807ee6 …pic.twitter.com/IhaieMARl8
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@avibryant @anyharder avi I love that sentence it is such a good explanation
@anyharder @b0rk the underlying techniques are more or less the same but I think there are very different ideas about methodology and rigor.
@avibryant @b0rk interesting! is there EDA in machine learning?
@anyharder is that... something discriminant analysis? I don't know what that is
@b0rk @anyharder when I google I get exploratory data analysis? Which - I think so? But I may be missing some nuance of what's meant by that
@avibryant @b0rk @anyharder This is great! I'd add stress testing--simulating pessimistc data to assess consequences of model failure.
@avibryant @b0rk @anyharder This is easier in understandable models--since you can usually reason better about what will fool your model.
@avibryant @anyharder @b0rk I disagree. Interpretable ML is primarily concerned with human understanding.
@avibryant @anyharder @b0rk IMO the difference between the two fields is rooted more in history than philosophy.
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