QuestionQ37

ML – Data

An e-commerce developer has built an application to automatically classify online products so that customers can select products more quickly. The objective is to show users more relevant products based on their previous purchases.

Which of the following factors is required for a supervised machine learning algorithm to succeed?

Explanation

Supervised machine learning learns the relationship between input features and known target labels from labeled training examples. Correct labels are therefore essential for training an accurate product-classification model. Grouping similar products is characteristic of unsupervised clustering rather than a prerequisite for supervised learning.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!