Training data

As the foundation of machine learning, data provides the ‘raw material’ that algorithms use for learning and making predictions. However, not all data is created equal. For it to be useful for machine learning, it must be labeled with information that identifies and describes its key features. So, accurate data labeling ensures that machine-learning algorithms… Read more