AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
values. For more details, you can refer here. Pros: 1. Dimensionality Reduction SVD allows for dimensionality reduction by retaining only the most significant singular values and vectors. 2. Data Compression SVD is used in data compression tasks, reducing the storage requirements of a matrix. 3.