What are some effective data labeling strategies for machine learning?

What are some effective data labeling strategies for machine learning?

Effective data labeling strategies include using automated tools, crowd-sourcing, and active learning.

Can you explain how active learning works in data labeling?

Active learning involves selecting the most informative data points for labeling, reducing the amount of data needed.

What are the benefits of using crowd-sourcing for data labeling?

Crowd-sourcing can provide diverse perspectives, speed up the labeling process, and reduce costs.

Are there any tools you recommend for data labeling?

Yes, tools like Labelbox, Amazon SageMaker Ground Truth, and Snorkel are popular for data labeling.