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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does GMM stand for?
π‘ Hint: It involves the use of probability.
Question 2
Easy
What is the main goal of anomaly detection?
π‘ Hint: Think about what makes something unusual.
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 is a primary advantage of GMMs over K-Means?
π‘ Hint: Think about the shapes these models can represent.
Question 2
Anomaly detection is primarily used to identify:
π‘ Hint: Consider the implications of detecting unusual occurrences.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset with known clusters, apply GMM and compare its performance with K-Means. Discuss the findings.
π‘ Hint: Focus on cluster shapes and assignments.
Question 2
Design a basic framework using Isolation Forest on a dataset containing clear anomalies. Analyze its performance against a known set of anomalies.
π‘ Hint: Review how to tune parameters for optimal results.
Challenge and get performance evaluation