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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

  1. 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。
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Solution

正確的答案是: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。這是因為監督式學習是指機器學習的一種方法,其中模型從一組標籤的數據中學習,並使用這些學習結果來預測新數據的結果。而非監督式學習則是指機器學習的一種方法,其中模型從未標籤的數據中學習,並使用這些學習結果來找出數據中的模式和結構。

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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.

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

What is the difference between supervised and unsupervised machine learnin

Question 3When comparing Supervised with Unsupervised learning, is this sentence True or False?In contrast to Supervised learning, Unsupervised learning has more models and more evaluation methods that can be used in order to ensure the outcome of the model is accurate.

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)

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