Dimensionality reduction is a process of minimizing the quantity of random variables under consideration by acquiring a list of principal variables.[55] Put simply, It's really a process of lessening the dimension of the element set, also known as the "range of attributes".Classical, or "non-deep," machine learning is a lot more dependent on human