In the field of machine learning, an induction algorithm represents an example of using mathematical principles for the development of sophisticated computing systems. Machine learning systems go beyond a simple “rote input/output” function, and evolve the results that they supply with continued use. Induction algorithms can help with the real-time handling of sophisticated data sets, or more long-term efforts.

The induction algorithm is something that applies to systems that show complex results depending on what they are set up for. One of the most fundamental ways that engineers use an induction algorithm is to enhance knowledge acquisition in a given system. In other words, with the algorithm in place, the set of “knowledge data” that end users get is somehow improved, whether that’s regarding the quantity of data, the filtering of noise and undesirable results, or the refinement of some data points.