Supervised vs

Supervised learning and unsupervised learning

Supervised learning is a type of machine learning algorithm that learns from labeled data.

Labeled data, which has been tagged with a correct answer or classification.

<p>The presence of a supervisor as a teacher, when teaching or training the machine using well-labelled data.</p> Signup and view all the answers

<p>Supervised learning uses labeled data, while unsupervised learning uses unlabeled data to find patterns and relationships.</p> Signup and view all the answers

<p>Labeled data is data that has been tagged with a correct answer or classification.</p> Signup and view all the answers

<p>Supervised learning involves the presence of a supervisor as a teacher, where the machine is trained using well-labelled data.</p> Signup and view all the answers

<p>Supervised learning involves training on labeled data with a correct answer, while unsupervised learning involves training on unlabeled data to find patterns and relationships.</p> Signup and view all the answers

<p>Supervised learning is often used for tasks such as classification, regression, and object detection.</p> Signup and view all the answers

<p>In supervised learning, the machine learns to predict the output for new input data through training on labeled data.</p> Signup and view all the answers