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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: Think about clustering.
Question 2
Easy
Name one application of anomaly detection.
💡 Hint: Consider financial transactions.
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 a key advantage of Gaussian Mixture Models over K-Means?
- A. It's faster.
- B. It allows soft assignments.
- C. It requires labeled data.
💡 Hint: Think about the flexibility of GMMs.
Question 2
True or False: t-SNE can capture global structures in high-dimensional data.
- True
- False
💡 Hint: Recall the purpose of t-SNE.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
As an analyst, you need to choose between GMM and K-Means for a dataset believed to have overlapping clusters. Justify your choice based on the characteristics of your data.
💡 Hint: Consider shapes and cluster distributions.
Question 2
You are tasked with detecting fraud in a dataset with imbalanced classes (few fraud cases). Which anomaly detection algorithm would you favor, Isolation Forest or One-Class SVM, and why?
💡 Hint: Reflect on how each algorithm handles data imbalance.
Challenge and get performance evaluation