Machine Learning, Optimization, Random Walk, Data Science, Gradient Descent.
variable each time [1]. This reduces the number of terms that you need to calculate by a factor equal to the number of variables in your dataset. It’s also extremely useful in the case that you get new data. Instead of needing to redo the entire process of gradient descent, stochastic gradient