Optimization Methods
Shared by Emma Rodriguez • optimization, mathematics • 2018
[18.065] Matrix methods in data science and engineering: least squares, regularization, low-rank approximations, compressed sensing, and gradient descent.
Shared by Emma Rodriguez • optimization, mathematics • 2018
[18.065] Matrix methods in data science and engineering: least squares, regularization, low-rank approximations, compressed sensing, and gradient descent.