Machine Learning
What is boosting when referring to machine learning algorithms?
Boosting refers to a whole class of machine learning algorithms that are built on taking a weak model and reusing it enough times so that it becomes a strong one.
Boosting refers to a whole class of machine learning algorithms that are built on taking a weak model and reusing it enough times so that it becomes a strong one.
Card 1 of 197. Answer: Boosting refers to a whole class of machine learning algorithms that are built on taking a weak model and reusing it enough times so that it becomes a strong one.