Dimensionality reduction is a process of minimizing the volume of random variables under consideration by obtaining a set of principal variables.[fifty five] Put simply, It's a process of decreasing the dimension in the characteristic set, also called the "quantity of attributes". A machine learning design can be a style of https://onboarding65208.blogs100.com/37332347/top-guidelines-of-cost-effectiveness