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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does GMM stand for?
💡 Hint: It involves clustering based on probability distributions.
Question 2
Easy
What is the purpose of feature selection?
💡 Hint: Think about selecting essential ingredients for a recipe.
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 does the 'soft assignment' feature of GMM allow?
- Rigid grouping of data points
- Probabilistic assignment to multiple clusters
- Handling only spherical clusters
💡 Hint: Think about how data points can belong to more than one group.
Question 2
True or False: Anomaly detection is always a supervised learning task.
- True
- False
💡 Hint: Consider if the anomalies are known in advance.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a high-dimensional dataset from customer behavior with some anomalies. Outline how you would approach identifying these anomalies using the methods discussed.
💡 Hint: Combine techniques strategically for best results.
Question 2
Given a dataset with both substantial and irrelevant features, propose an approach for managing dimensionality effectively.
💡 Hint: Think about how to maintain clarity while reducing dimensions.
Challenge and get performance evaluation