Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
Rate in Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning to minimize a cost function and find the optimal values for model parameters. The learning rate, denoted as alpha (α), plays a crucial role in determining how quickly the algorithm converges