Data Science, Machine Learning, Deep Learning, Calculus, Mathematics.
iteratively adjusting its input parameters. Gradient descent uses the principles of calculus, particularly differential calculus, to guide the optimization process. It is commonly employed in machine learning, deep learning, and various other fields were finding the optimal solution is essential.