Machine learning algorithms fuel machine learning models. They consist of three parts: a decision process, an error function and a model optimization process.
Python is a general-purpose, object-oriented programming language that’s popular in data science thanks to its rich libraries offering deep learning capabilities.
Non-maximum suppression (NMS) is a post-processing technique that is used in object detection tasks to eliminate duplicate detections and select bounding boxes.
