REGULARIZATION

Working with ML models is all fine until you get noisy and somewhat extra data to train the model.

Having such data not only adds to the time lapse of the model moreover it can impact performance if not dealt properly.

The question arises how to get rid of the noisy data and check which sort of data is noisy and needs to be removed.

Here is the solution -- Regularization

Read the complete article here.

https://www.linkedin.com/pulse/regularization-aqsa-ashfaq/