Nowadays, data scientists often give machine learning model data with labels so that it can figure out the rules for labeling new data.
This is convenient, but some information may be lost in this process. It is also difficult to understand why the machine learning model comes up with a particular prediction.
Instead of letting a machine learning model figure out everything, is there a way that we can use our domain knowledge to set the rules for data labeling?
Yes, that can be done with human-learn. In my latest article, you will learn how to use human-learn to label your data by drawing on your dataset.
