Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

There are approximately a dozen common regression techniques. The most basic technique is called linear regression, or sometimes multiple linear regression ... trained using iterative stochastic ...

Abstract: The cost function minimization is essential in finding a good model for linear regression. This paper works on prototyping and examining the minimizing cost function's two known algorithms ...

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python This package ...

ABSTRACT: The present aim is to update, upon arrival of new learning data, the parameters of a score constructed with an ensemble method involving linear discriminant analysis and logistic regression ...

We propose a method for estimating glacier flowlines through local linear regression gradient descent (gd-flow ... gd-flow further improves gd-flow by leveraging the accuracy of multiple window sizes.