Dimensionality Reduction for Matrix- and Tensor-Coded Data [Part 1] 

8:03 Matrix Decomposition: Trying to approximate a large X matrix (with the original data) into 2 smaller factor matrices: a taller skinny matrix U, and a short fat matrix V transpose, both with smaller number of parameters. 11:15 Little outline for the rest: Long-list of matrix decomposition models, Optimization & Model Fitting, Visualization and model assessment.

Very informative. thank you

thank you.