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This was very important with classical machine learning, now with deep learning, feature engineering became useless as the model can learn the relevant features

This was very important with classical machine learning, now with deep learning, feature engineering became useless as the model can learn the relevant features by itself. However, having a quality and diverse dataset is more important now than ever.

Salgat 2y ago
That depends on the type of data, and regardless, your goal is to minimizing the input data since it has a direct impact on performance overhead and duration of inference.
beckhamc 2y ago
no we just replaced feature engineering with architectural engineering