Data labeling is the process of tagging raw data with meaningful annotations to enable machine learning models to recognize patterns. It is crucial in supervised learning applications such as image recognition, NLP, and speech processing.
Data labeling is the process of tagging raw data with meaningful annotations to enable machine learning models to recognize patterns. It is crucial in supervised learning applications such as image recognition, NLP, and speech processing.