(Choose 2 answers)
A. (1)
B. (II)
C. (III)
D. (IV)
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.
(1)Given genetic (DNA) data from a person, predict the odds of him/her developing diabetes over the next 10 years.
(II)Have a computer examine an audio clip of a piece of music, and classify whether or not there are vocals (i.e., a human voice singing) in that audio clip, or if it is a clip of only musical instruments (and no vocals).
(III)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.
(IV)
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.
E 44
