Practice Unsupervised Learning (2.2) - Introduction to Machine Learning

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8 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define Unsupervised Learning.
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Think about data that doesn't have tags.
Question 2.
What is clustering?
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It’s about finding groups.
3Question 3.
What is the primary goal of unsupervised learning?
- To classify data
- To predict outcomes
- To discover patterns
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Think about the lack of labels in the data.
4Question 4.
True or False: Unsupervised Learning requires labeled data.
- True
- False
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Consider the definition of learning types.
Question 5.
You have a dataset of customer behaviors without labels. How can you use unsupervised learning to improve your marketing strategy?
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Consider how customer patterns could inform marketing.
Question 6.
Discuss the limitations of unsupervised learning when it comes to interpretation and application in a real-world scenario.
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Think about how you would assess the quality of results.

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