In machine learning, a "random walk" approach can be applied in various ways to help the technology sift through the large training data sets that provide the basis for the machine's eventual comprehension.

A random walk, mathematically, is something that can be described in several different technical ways. Some describe it as a randomized collection of variables; others might call it a "stochastic process." Regardless, the random walk contemplates a scenario where a variable set takes a path that is a pattern based on random increments, according to an integer set: For example, a walk on a number line where the variable moves plus or minus one at every step.