Gradient Descent is one of the most widely used optimization algorithms in machine learning and artificial intelligence. Its main purpose is to minimize the cost (or loss) function of a model. The cost function measures how far the model’s predicted output is from the actual output. In simple terms, it tells us how wrong the model is.

The...