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When is it necessary to manually extract features to feed into the neural network rather than providing raw data?

normalization & scaling increase speed of learning... first & second differencies, that mentioned @Vladislav Gladkikh, are usefull when autocorrelation in series exists (either timeseries or ...
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Non constant Feature Importance

The aim is to build a regressor capable of predicting next year sales. So, if I want to predict sales for 2024, I could use data from 2023, 2022, 2021, and so on... it is not a Regressor in full-...
JeeyCi's user avatar
  • 101

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