Gradient Descent Intuition -- How Machines Learn

Gradient descent is an algorithm to find the minimum of a function. In machine learning, the difference between the predicted and the actual value is called error. All error, across all datapoints, when added together is known as the cost. Naturally, we would want to minimize the function that represents this cost -- Cost Function. When the cost function cannot be differentiated easily Gradient Descent does the job for us.