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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of unsupervised learning?
π‘ Hint: Think about what unsupervised learning does with data.
Question 2
Easy
What is clustering in unsupervised learning?
π‘ Hint: Consider how you sort similar items.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What type of data does unsupervised learning work with?
π‘ Hint: Recall the definition of unsupervised learning.
Question 2
True or False: Anomaly detection is a part of supervised learning.
π‘ Hint: Consider which learning types involve labeled data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset containing various fruits described by features like color, weight, and size, design an unsupervised model to categorize them. Discuss the process and expected outcomes.
π‘ Hint: Consider how similar characteristics define each group.
Question 2
Discuss the implications of using unsupervised learning in sensitive environments such as healthcare. What could go wrong?
π‘ Hint: Think about the importance of correct interpretations in critical decisions.
Challenge and get performance evaluation