Enhancing data annotation outcomes for AI/ML models
The quality and quantity of training data is directly linked to the success of artificial intelligence (AI) / machine learning (ML) model development. In this paper, read about the challenges faced by data science teams and how they can use both man and machine for improved project outcomes.
