Some of the problems below are best addressed using a supervised learning algorithm, and the others with an unsupervised learning algorithm. Which of the following would you apply

supervised learning to$?($Select all that apply.$)$ In each case, assume some appropriate

dataset is available for your algorithm to learn from.

$($a$.)$

Examine a web page, and classify whether the content on the web page should be considered "child friendly" $($e$.$g$.,$ non$-$pornographic, etc.$)$ or "adult."

$69$ Given data on how $1000$ medical patients respond to an experimental drug $($such as effectiveness of the treatment, side effects, etc.$),$ discover whether there are different categories or "types" of patients in terms of how they respond to the drug, and if so what these categories are.

In farming, given data on crop yields over the last $50$ years, learn to predict next year's crop yields.

$(3)$ Given a large dataset of medical records from patients suffering from heart disease, try to learn whether there might be different clusters of such patients for which we might tailor separate treatments.