What is the difference between supervised and unsupervised machine learning?Unsupervised machine requires labels.Supervised machine learning requires human supervisors.Supervised machine learning requires labels.
Question
What is the difference between supervised and unsupervised machine learning?Unsupervised machine requires labels.Supervised machine learning requires human supervisors.Supervised machine learning requires labels.
Solution 1
Supervised and unsupervised machine learning are two different types of machine learning
Solution 2
Supervised and unsupervised machine learning are two different types of machine learning that differ mainly in the way they learn from data.
-
Supervised Machine Learning: In supervised learning, the model is trained on a labelled dataset. That is, the data is accompanied by a label that the model is expected to predict. This could be anything from a category, a number, a class, etc. The model is trained on this data and then used to predict the label for new, unseen data. The presence of a supervisor, in the form of labelled data, is what gives supervised learning its name.
-
Unsupervised Machine Learning: On the other hand, unsupervised learning does not require labels. Instead, the model is given a dataset and is expected to find patterns and relationships within the data itself. This could be in the form of clustering, where the model groups similar data together, or anomaly detection, where the model identifies data that is different from the norm.
So, to correct the statements in the question: Unsupervised machine learning does not require labels, and supervised machine learning does not necessarily require human supervisors, but it does require labelled data.
Similar Questions
What is the difference between supervised and unsupervised machine learnin
What is the key difference between supervised learning and unsupervised learning in the context of neural networks? a. Supervised learning requires labeled output data, while unsupervised learning does not. b. Unsupervised learning uses a teacher to guide the learning process. c. Supervised learning does not involve input data, unlike unsupervised learning. d. Unsupervised learning requires a predefined threshold value.
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
*Supervised vs. Unsupervised Machine Learning*
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。
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.