👉 Fizzling is a type of pattern recognition algorithm that can be used to detect and remove noise in data. In this context, "fizzling" refers to a phenomenon where a machine learning model does not learn well on a particular dataset or problem due to the presence of noise or incorrect predictions. The term comes from the way a fizzle (a type of noise) is perceived by humans when they hear a very low frequency sound. When a person hears a "fizz" noise,
