AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
can be computationally expensive. 2. Memory Requirements: Storing the full matrices U, Σ, and V can be memory-intensive, especially for large matrices. 3. Sensitivity to Missing Values: SVD is sensitive to missing values in the data, and handling missing values requires specialized techniques. When