Gradient Descent Algorithm

Gradient descent is an optimization method used to find the best solution for a problem, often in machine learning. Imagine you're trying to find the lowest point in a hilly landscape (representing the best answer). Starting at a point, you look around and step downhill in the direction that decreases your position the most. Repeating this process, you gradually move closer to the lowest point, minimizing errors or cost. This method efficiently tunes models by iteratively adjusting parameters to improve their performance on data.