Gradient descent - Wikipedia
It is a first-order iterative algorithm for minimizing a differentiable multivariate function. The idea is to take repeated steps in the opposite direction of the gradient (or approximate gradient) of the function …
Gradient Descent Algorithm in Machine Learning - GeeksforGeeks
Jan 5, 2026 · Gradient Descent is an optimisation algorithm used to minimize a model’s error by iteratively adjusting its parameters. By moving step‑by‑step in the direction of the steepest decrease …
3 Gradient Descent – 6.390 - Intro to Machine Learning
There is an enormous and fascinating literature on the mathematical and algorithmic foundations of optimization, but for this class we will consider one of the simplest methods, called gradient descent. …
What is the Gradient Descent Algorithm - Analytics Vidhya
Apr 4, 2025 · Gradient descent is an optimization algorithm used in machine learning to minimize the cost function by iteratively adjusting parameters in the direction of the negative gradient, aiming to …
Implementing Gradient Descent from Scratch: A Step-by-Step Guide
May 18, 2025 · What is Gradient Descent? Gradient Descent is an iterative optimization algorithm used to minimize a function by moving in the direction of the steepest descent, as defined by the negative …
Gradient Descent in Machine Learning: A Deep Dive - DataCamp
Sep 23, 2024 · Gradient descent is an optimization algorithm used to minimize the cost function in machine learning and deep learning models. It iteratively updates model parameters in the direction …
Complete Step-by-Step Gradient Descent Algorithm from Scratch
Sep 10, 2021 · In this article, we understand the work of the Gradient Descent algorithm in optimization problems, ranging from a simple high school textbook problem to a real-world machine learning cost …
Linear regression: Gradient descent - Google Developers
6 days ago · Gradient descent is a mathematical technique that iteratively finds the weights and bias that produce the model with the lowest loss. Gradient descent finds the best weight and bias by...
The idea of gradient descent is then to move in the direction that minimizes the approximation of the objective above, that is, move a certain amount > 0 in the direction −∇ ( ) of steepest descent of the …
What is Gradient Descent - GeeksforGeeks
Jan 17, 2026 · Gradient Descent is an iterative optimization algorithm used to minimize a cost function by adjusting model parameters in the direction of the steepest descent of the function’s gradient.