Solve the linear regression equations with L2 norm given noised linear samples. Search for shapes (square, triangle, circle) in an noised image that contains the shapes
Sigiloso
The pattern searching of shapes: edge detection, search for minimal MSE. The linear regression, I solved it in a matrix equations, got the loss value, derived it and looked for the minimum by comparing to zero.