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

[@romniyepez5206]

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.

[@jairjuliocc]

Very informative. thank you

[@achyutanandasahoo4775]

thank you.