The Role of Data Labeling in Machine Learning Development
Data labeling is a critical process in machine learning that involves categorizing raw data into meaningful labels for training algorithms. It ensures that data is correctly identified and categorized so that machine learning models can learn from it and make accurate predictions. As machine learning systems rely on large volumes of data, the quality and.