Monday, March 13, 2017

Andrew Ng machine learning

Gradient Descent vs Normal Equation
Normal equation good for smaller feature size

Normal Equation Noninvertibility
too many features (m <= n)
redundant features (linearly dependent)
pinv vs inv in Octave.
Normal equation - regularization makes X'X invertible even if it's not.

No comments:

Blog Archive