How does supervised learning differ from unsupervised learning?Select one:a.Supervised learning involves predicting a continuous value, while unsupervised learning involves predicting a categorical valueb.Supervised learning involves predicting a value, while unsupervised learning involves clustering datac.Supervised learning involves clustering data, while unsupervised learning involves predicting a valued.Supervised learning involves labeled data, while unsupervised learning involves unlabeled data
Question
How does supervised learning differ from unsupervised learning?Select one:a.Supervised learning involves predicting a continuous value, while unsupervised learning involves predicting a categorical valueb.Supervised learning involves predicting a value, while unsupervised learning involves clustering datac.Supervised learning involves clustering data, while unsupervised learning involves predicting a valued.Supervised learning involves labeled data, while unsupervised learning involves unlabeled data
Solution
The correct answer is d. Supervised learning involves labeled data, while unsupervised learning involves unlabeled data.
In supervised learning, the model is trained on a labeled dataset. That is, the model has access to the correct answers (or labels) during the training process. The model makes predictions based on this training and is corrected by the supervisor when it makes mistakes. This process allows the model to learn and improve over time.
On the other hand, unsupervised learning involves training the model on an unlabeled dataset. The model does not have access to the correct answers and must find patterns and relationships within the data on its own. This is often used for clustering data into groups or for reducing the dimensionality of the data.
Similar Questions
What is the difference between supervised and unsupervised learning?(1 Point)Supervised learning requires labeled data while unsupervised learning does not.Unsupervised learning requires labeled data while supervised learning does not.Supervised learning does not require data while unsupervised learning does.There is no difference between supervised and unsupervised learning.
What is the difference between supervised and unsupervised machine learnin
Which of the following is TRUE about unsupervised learning?I. Unsupervised learning refers to the problem of finding hidden structures within unlabeled data.II. Clustering techniques are unsupervised in the sense that the data scientist does not determine, in advance, the labels to apply to the clusters.II only neither I nor IIboth I and III only
12. Which of the following statement correctly indicates the difference between ‘supervised learning’ and ‘unsupervised learning’?以下哪一個説法正確地指出「監督式學習」和「非監督式學習」的區別？Supervised learning cannot be applied to regression analysis, while unsupervised learning can. 監督式學習不可用於迴歸分析；非監督式學習則可以。Unsupervised learning requires a labeled dataset for training, while supervised learning can extract features and patterns from unlabeled dataset for learning. 非監督式學習需要利用已標注的數據集來進行學習；監督式學習則可以從未標注的數據集上歸納出特徵和模式。Supervised learning requires a labeled dataset for learning, while unsupervised can extract features and patterns from unlabeled dataset for learning. 監督式學習需要利用已標注的數據集來進行學習；非監督式學習則可以從未標注的數據集上歸納出特徵和模式。Supervised learning can be applied to clustering analysis, while unsupervised learning cannot. 監督式學習可用於分群分析；非監督式學習則不可以。
Question 1Which of these best describes unsupervised learning? 1 pointA form of machine learning that finds patterns in data using only labels (y) but without any inputs (x) . A form of machine learning that finds patterns using unlabeled data (x). A form of machine learning that finds patterns without using a cost function.A form of machine learning that finds patterns using labeled data (x, y)
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.