Submitted by pasticciociccio t3_105oovx in MachineLearning
BlindOdyssey t1_j3g0kuk wrote
Reply to comment by fakesoicansayshit in [D] 5 Growing Libraries in Python for Causality Analysis by pasticciociccio
I agree with what I think you’re asserting, that the number of variables that might contribute to triggering any sort of event is incalculable, but as a matter of practicality, I assume we have to view causality as a gradient of probability. In other words, we account for as many variables as we can, and make a “best guess” based on what we know. We can make “predictions” based on that until we know more, and then we redefine our overall system over time.
Edit: a word
fakesoicansayshit t1_j49364c wrote
>gradient of probability
Nicely put.
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