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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of anomaly detection?
π‘ Hint: Think about unusual occurrences in datasets.
Question 2
Easy
Name one key algorithm used in anomaly detection.
π‘ Hint: Consider algorithms that specifically focus on outliers.
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 the main focus of anomaly detection?
π‘ Hint: Think about what makes 'anomaly' different.
Question 2
Isolation Forest explicitly isolates anomalies. True or False?
π‘ Hint: Remember its core principle of isolation.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Imagine you have a dataset of network traffic. How would you approach detecting anomalies using both Isolation Forest and One-Class SVM? Describe the steps and rationale behind your choices.
π‘ Hint: Think about how layered detection enhances accuracy.
Question 2
Design a simple anomaly detection system for a medical patient monitoring system. What algorithms would you use and why?
π‘ Hint: Consider real-time monitoring aspects and data dimensionality in your design.
Challenge and get performance evaluation