Practice - t-SNE and UMAP
Practice Questions
Test your understanding with targeted questions
What does t-SNE stand for?
💡 Hint: Think about the type of distribution used in the name.
Which method is known for faster performance on large datasets?
💡 Hint: Recall which technique we discussed as being quicker.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does UMAP stand for?
💡 Hint: Think about 'Uniform' and 'Manifold'.
t-SNE is best known for:
💡 Hint: Recall what happens to nearby points.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
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