👉 Noisemake is a term used in the field of computer science and artificial intelligence to refer to a type of machine learning model that learns from noisy data. It involves using statistical models and algorithms to learn patterns and make predictions based on limited or noisy input data, without being explicitly told what information to use. Noisemakes are often used in conjunction with other machine learning techniques such as decision trees and support vector machines (SVMs), which allow for the prediction of complex outcomes given limited