Machine Learning, Optimization, Random Walk, Data Science, Gradient Descent.
repeatedly performing these steps the algorithm takes us from our guess down into what it hopes is the true global minimum. For small datasets this is ok, however for large datasets it is easy to see that gradient descent quickly becomes infeasible. In addition, gradient descent can’t even promise