DEVELOPMENT SETS IN MACHINE LEARNING

Logic Simplified24 Aug, 2022Web Development

A machine learning model creation step involves training the model and then testing it. It starts with an idea, according to which the raw data is collected for the model and then data processing for AI and ML algorithms takes place which converts the data into a form that can be used by the model to learn. Once the model is built to solve a specific problem, it is tested until the model gives satisfying results.