We can work backwards from correct predictions and develop an understanding that way.
But most people just need to know if it’s going to be storming, hot or, going to rain on a given day and that is where this shines.
But most people just need to know if it’s going to be storming, hot or, going to rain on a given day and that is where this shines.
OC was saying (I’m going to paraphrase) that this is the death of understanding in meteorology, but it’s not because we can always work backwards from accurate predictions.
I guess there could be some value in analyzing what inputs have the most and least influence on the AI predictions.