1. Machine Learning for SQL Use Cases
  2. Concepts
  3. Machine Learning Algorithms
  4. About Singular Value Decomposition
  5. Configuring the Algorithm
  6. Performance

Performance

Singular Value Decomposition can use approximate computations to improve performance.

Approximation may be appropriate for data sets with many columns. An approximate low-rank decomposition provides good solutions at a reasonable computational cost. The quality of the approximation is dependent on the characteristics of the data.