Cholesky Decomposition for Linear Regression with TensorFlow
Although Linear Least Squares Regression is simple and precise, it can be inefficient when matrices get very large. Cholesky decomposition
Month: January 2018
Linear Least Squares Regression with TensorFlow
Linear Least Squares Regression is by far the most widely used regression method, and it is suitable for most cases
