Unsupervised Machine Learning: Nonnegative Matrix Tensor Decompositions
V.V. Vesselinov
MIT, Boston, MA2019
Summary
This presentation covers unsupervised machine learning methods for nonnegative matrix and tensor decompositions. It discusses the use of these methods to identify hidden patterns and extract meaningful features from complex datasets.