Dimensionality reduction is often a process of reducing the number of random variables into account by acquiring a set of principal variables.[fifty five] Basically, It's a process of reducing the dimension on the function established, also called the "range of attributes".Classical, or "non-deep," machine learning is more dependent on human interv