6. AI for All: Machine Learning (ML): Labeled vs. Unlabeled Data: How to label/tag data? Crowdsource

Machine learning: Labeled vs. Unlabeled Data: How to label data?

Labeled data: Data that has been tagged with one or more labels identifying certain characteristics or classifications.
Data that has been assigned specific categories or tags (labels).

Unlabeled data: Data that has not been tagged with labels or classifications.
It is raw data without any predefined categories, used for exploratory analysis or to train models to discover patterns on their own.

How to label data?
Manual Labeling
Crowdsourcing
Expert Labeling

Challenges of manual labeling?