Category: B

The term refers to large data sets that are too complex to be managed and analyzed by traditional data processing software. Big Data is characterized

The term “bagging,” which is an abbreviation for “Bootstrap Aggregating,” refers to a method used in machine learning to improve model accuracy and stability by

An exhaustive search that looks across all the given inputs and does not limit itself to clustering or approximations. It’s usually more expensive and time-consuming,

A bounding box, also known as a bounding rectangle, is a rectangular box that surrounds an object in an image or video and provides information

The term “backpropagation” refers to the technique for training neural networks in which the system’s initial output is compared to the target output, and then