[ismailmaj]

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]

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]

no we just replaced feature engineering with architectural engineering