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Artificial Intelligence & Machine Learning
Q26 / 100
What is dimensionality reduction?
Correct! Well done.
Incorrect.
The correct answer is B) Techniques reducing the number of features while preserving important information, addressing the curse of dimensionality
B
Correct Answer
Techniques reducing the number of features while preserving important information, addressing the curse of dimensionality
Explanation
PCA finds lower-dimensional projections maximizing variance. t-SNE/UMAP are for visualization. Autoencoders learn compressed representations. Reduces overfitting, computational cost, and storage requirements.
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26/100