Supervised vsUnsupervised Learning — Learn free

Self-check

Questions 1–10 of 10

1. What is the fundamental difference in the data used by Supervised Learning and Unsupervised Learning?
Question 1A. Supervised Learning uses numeric data; Unsupervised Learning uses text dataB. Supervised Learning uses labelled data; Unsupervised Learning uses unlabelled dataC. Supervised Learning uses unlabelled data; Unsupervised Learning uses labelled dataD. Both use labelled dataE. Both use unlabelled data
2. In Machine Learning, Supervised and Unsupervised Learning are both used for what purpose before complex algorithms come into action?
Question 2A. Database normalisationB. Storage compressionC. Pattern identificationD. User access managementE. Report formatting
3. Which example illustrates Supervised Learning based on the uniqueness of the data?
Question 3A. All animals tagged separatelyB. Animals grouped into those with 2 legs and those with 4 legsC. Animals sorted by the colour of their furD. Animals clustered by habitatE. Animals grouped by weight
4. Which example illustrates Unsupervised Learning based on characteristics?
Question 4A. Every animal tagged with its species nameB. Every animal given a unique IDC. Every animal labelled by a trainerD. Animals clustered into those with 2 legs and those with 4 legsE. Animals listed alphabetically
5. Which two algorithms are named as the most popular Supervised Learning algorithms in data mining?
Question 5A. K-means clustering and hierarchical clusteringB. Apriori and PageRankC. Naive Bayes and linear regressionD. Random forest and gradient boostingE. K-Nearest Neighbour and decision tree
6. Which two algorithms are named as the common Unsupervised Learning algorithms in data mining?
Question 6A. Decision tree and K-Nearest NeighbourB. K-means clustering and hierarchical clusteringC. Logistic regression and support vector machineD. Decision tree and hierarchical clusteringE. K-Nearest Neighbour and K-means clustering
7. Which statement about the output of Supervised and Unsupervised Learning is correct?
Question 7A. Both outputs are known in advanceB. Both outputs are unknown in advanceC. Supervised Learning output is known; Unsupervised Learning output is unknownD. Supervised Learning output is unknown; Unsupervised Learning output is knownE. Output is irrelevant to the distinction
8. For which learning method is training data provided?
Question 8A. Supervised LearningB. Unsupervised LearningC. Both Supervised and Unsupervised LearningD. Neither Supervised nor Unsupervised LearningE. Only hierarchical clustering
9. Which of the following is NOT a characteristic of Unsupervised Learning?
Question 9A. It uses unlabelled dataB. Its output is unknownC. It creates clusters based on characteristicsD. It has no training data providedE. It relies on decision tree algorithms
10. Supervised and Unsupervised Learning are said to have been discussed before under which other topic?
Question 10A. Data Warehousing and Data LakesB. Data Visualisation and Heat MapsC. Data Ethics and Critical Data ElementsD. Data Classification, Categorisation and Data ClusteringE. Semantic Layer and Augmented Analytics