Top Suppliers for Affordable Machine Learning Labels and Targets: A Comparison Guide
In machine learning, grasping the difference between labels and targets is essential for successful model training. As a supplier in China, I’ve noticed that many companies seek to clarify these concepts to improve their product development processes. Labels represent the predictions made by our models, while targets are the actual outcomes we strive to achieve. Understanding this distinction can greatly impact our data collection and analytical strategies.
