Data Augmentation – Cherry-picking data in a useful and positive way
Data Pre-Processing techniques exist to ensure data quality and they can be grouped in different ways. There is no consensus on the best way to create these groups, although examples of such groups usually include data cleaning, feature transformation, feature...
Feature Learning – Helping Machine Learning algorithms derive value from data
Data Pre-Processing techniques exist to ensure data quality and they can be grouped in different ways. There is no consensus on the best way to create these groups, although examples of such groups usually include data cleaning, feature transformation, feature...
