Gradient Descent, Data Science, Data Visualization, Deep Learning, Machine Learning.
the optimal values of the model parameters. However, the fluctuations can eventually average out over multiple iterations, leading to convergence towards the minimum of the cost function.  In the case of BGD, the cost function decreases smoothly and gradually over the iterations, as the algorithm