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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does t-SNE stand for?
💡 Hint: Think about the type of distribution used in the name.
Question 2
Easy
Which method is known for faster performance on large datasets?
💡 Hint: Recall which technique we discussed as being quicker.
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 UMAP stand for?
💡 Hint: Think about 'Uniform' and 'Manifold'.
Question 2
t-SNE is best known for:
- A. Preserving global structures
- B. Preserving local structures
- C. Working on linear datasets
💡 Hint: Recall what happens to nearby points.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Discuss a dataset you want to analyze visually. How would you decide whether to use t-SNE or UMAP? What factors would influence your choice?
💡 Hint: Think about the nature of your data and what insights you hope to gain.
Question 2
Implement both t-SNE and UMAP on a sample dataset. Compare the visual outputs and determine which method provides more insightful information.
💡 Hint: Use the same dataset for a fair comparison.
Challenge and get performance evaluation