Question

question: 5
identify which type of machine learning (ml) best describes the scenario below:
in order to boost sales, an online retail website will randomly suggest new products to a shopper every 10 minutes they spend on the site. the shopper can then choose if they want to add the product to their shopping cart or not.
supervised learning
unsupervised learning
reinforcement learning
none of the above

Explanation:

In supervised learning, there are labeled datasets for training. Here, there's no indication of labeled data. Unsupervised learning looks for patterns in unlabeled data, which isn't the case either. Reinforcement learning involves an agent taking actions in an environment to maximize a cumulative reward. The website is trying to maximize sales (reward) by suggesting products (actions) based on the shopper's time on - site (environment).

Answer:

C. Reinforcement Learning