Dimensionality Reduction
Dimensionality Reduction In Machine Learning: Some mathematical prerequisites: Mean Vector, Covariance Matrix and Column Standardization
This is part 2 of Introduction to Dimensionality Reduction. In this blog post, we would several different mathematical prerequisites that one must know before trying to understand machine learning. Mean Vector The sample mean is a vector each of whose elements is the sample mean of one of the random Read more…