Practice Introduction to Unsupervised Learning - 5.2 | Module 5: Unsupervised Learning & Dimensionality Reduction (Weeks 9) | Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define unsupervised learning in one sentence.

πŸ’‘ Hint: Think about what the term 'unsupervised' implies.

Question 2

Easy

Name one application of unsupervised learning.

πŸ’‘ Hint: Consider where raw data could help in grouping or clustering.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary goal of unsupervised learning?

  • Label new data
  • Group similar data points
  • Make predictions
  • None of the above

πŸ’‘ Hint: Think about what we want to achieve without labels.

Question 2

True or False: Clustering is a task within unsupervised learning.

  • True
  • False

πŸ’‘ Hint: Is clustering sometimes part of learning from unlabeled data?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A company wants to implement unsupervised learning for customer segmentation. Describe the steps they should take to prepare their data and select the appropriate algorithm.

πŸ’‘ Hint: Consider the importance of cleaning the data before using clustering.

Question 2

How can unsupervised learning help in detecting fraudulent transactions? Take an example of clustering techniques.

πŸ’‘ Hint: Think about how typical transactions differ from suspicious ones.

Challenge and get performance evaluation