Data leakage occurs when unexpected additional information infiltrates a training algorithm. Our expert explains what you need to look out for and how to solve this problem.
Machine learning algorithms fuel machine learning models. They consist of three parts: a decision process, an error function and a model optimization process.
Non-maximum suppression (NMS) is a post-processing technique that is used in object detection tasks to eliminate duplicate detections and select bounding boxes.
