January 2019
Intermediate to advanced
294 pages
6h 43m
English
In this chapter, we have studied the Kernel PCA, along with ICA. We also studied compressed sensing, the goals of compressed sensing, and self-organizing maps and how they work. Finally, we concluded with Bayesian multiple imputations.
Read now
Unlock full access