| ▲ | jdthedisciple 9 hours ago | |||||||||||||||||||
Let me be blunt: Shannon would tell us that time forecasting is bullshit: There is infinitely more entropy in the real world out there than any model can even remotely capture. The world is not minecraft. | ||||||||||||||||||||
| ▲ | bwfan123 8 minutes ago | parent | next [-] | |||||||||||||||||||
> time forecasting is bullshit for a model to be useful, it doesnt need to capture the behavior of a system. It only needs to capture signals which can be useful. For example, for a biased coin toss, a model is already useful if it can predict a little better than random. | ||||||||||||||||||||
| ▲ | drzaiusx11 4 hours ago | parent | prev | next [-] | |||||||||||||||||||
Time series forecasting has proven useful in a number of different domains from weather to health monitoring. Sure you can easily over fit on the training data, but in general that's a data source/input problem where you need many high quality data sources to find the signal in the noise. The world is chaotic sure, but there are still truths to be found in noisy time series data; saying that the world is too random to be knowable is a bit dismissive, no? | ||||||||||||||||||||
| ▲ | mikkom 9 hours ago | parent | prev | next [-] | |||||||||||||||||||
Yeah all weather forecasts are just magic | ||||||||||||||||||||
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| ▲ | FartyMcFarter 6 hours ago | parent | prev [-] | |||||||||||||||||||
> Shannon would tell us that time forecasting is bullshit If you're trying to forecast random data, then yes, it's bullshit. Otherwise you have a chance. | ||||||||||||||||||||
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