Singular Value Decomposition (SVD) is a method of decomposing a matrix into several other matrices where we can derive useful features. It is an important element in achieving Principal component analysis. SVD is widely used in dimensionality reduction of the

Read more### Galaxy Data Technologies

where data meets technology