Abstract: Variational quantum algorithms (VQAs) are promising methods that leverage noisy quantum computers and classical computing techniques for practical applications. In VQAs, the classical ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Trump's sons distance themselves from new Trump-branded ...

Abstract: Aitken gradient descent (AGD) algorithm takes some advantages over the standard gradient descent and Newton methods: 1) can achieve at least quadratic convergence in general; 2) does not ...

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Using python we have created a Linear Regression Machine Learning Model from Scratch. We have implemented Gradient Descent to find the best 'm' (Slope) and 'b' (Intercept).

In this paper, we extend a descent algorithm without line search for solving unconstrained optimization problems. Under mild conditions, its global convergence is established. Further, we generalize ...