Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
that result in the smallest possible cost. It aims to minimize the cost function by adjusting the parameters in a systematic way. The algorithm makes small updates to the parameters based on the calculated gradient of the cost function. # 3. Understanding the Cost Function in Linear Regression for