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You are going to find out about the issue of overfitting, and how to manage this issue with a method termed regularization. You'll get to practice implementing logistic regression with regularization at the end of this week! “In only the last 5 or a decade, machine learning has grown to

For instance, for just a classification algorithm that filters e-mails, the input might be an incoming e mail, and also the output can be the title of the folder through which to file the e-mail. Samples of regression could well be predicting the peak of a person, or the future temperature. [50]

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