Main Challenges of Machine Learning

Supervised Learning Types

classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data.

An example of a classification problem would be the email Spam Detection as a function of the subject line of the email, the body text of the email, the sender$\text{'}$s email address, and the presence of certain keywords $($e$.$g$.,$ "limited time offer" "free," "win," $)$

regression: if the desired output consists of one or more continuous variables, then the task is called regression.

An example of a regression problem would be the prediction of the age of a child as a function of his length and weight.

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