Jump to content

Ground truth: Difference between revisions

4,619 bytes added ,  24 February 2023
Created page with "{{see also|Machine learning terms}} ===Introduction== Machine learning is a rapidly developing field that seeks to create algorithms and models that can learn from data to make predictions or decisions. For these models to be accurate, they need to be trained on high-quality data - including "ground truth." Ground truth is a key concept in machine learning, defined as accurate and reliable information about the target variable or phenomenon being learned by the model. T..."
(Created page with "{{see also|Machine learning terms}} ===Introduction== Machine learning is a rapidly developing field that seeks to create algorithms and models that can learn from data to make predictions or decisions. For these models to be accurate, they need to be trained on high-quality data - including "ground truth." Ground truth is a key concept in machine learning, defined as accurate and reliable information about the target variable or phenomenon being learned by the model. T...")
(No difference)