Regularization is introduced in class as a numeric term that can be incorporated into a loss function. This is straightforward for algorithms such as neural networks that seek to optimize a numeric loss function. Here, explain possible ways regularization can be used to fine tune other types of algorithms, specifically decision trees and naive Bayes classifiers.

try this:

go tos official website.

click on your profile pic at the top right of the screen and click 'edit profile'.

click on "preferences" and press "year of birth".

and then just maybe try to reset whatever error made before by typing in the correct age details again. hope this !

i guess the correct option is letter a.

use contrasting font sizes, but the same font style