Question

question: 3
identify which type of machine learning (ml) best describes the scenario below:
a music company has created a website that allows users to say if they like or dislike a song that they are listening to. each song has a list of traits, like tempo, instrument types, vocals, etc. using the like/dislike data submitted by the user, the website then makes predictions on whether or not they will like certain new songs, ultimately playing the songs it thinks the user will like.
supervised learning
unsupervised learning
reinforcement learning
none of the above

Explanation:

In supervised learning, the model is trained on labeled data. Here, the like/dislike data submitted by users (labels) along with song - traits (features) are used to predict user preferences for new songs. This aligns with the characteristics of supervised learning.

Answer:

A. Supervised Learning