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Inductive Reasoning

Inductive reasoning is a logical process that involves using evidence to propose a theory. In data science, inductive reasoning is used to make predictions when only a limited amount of evidence is present. Typically, this process involves taking a small data sample and using it to infer information about a larger population.

It is possible for the inductive reasoning process to produce inaccurate conclusions, as the conclusions it produces aren't mathematically certain.

What Small and Midsize Businesses Need to Know About Inductive Reasoning

Inductive reasoning is the backbone of machine learning systems; machine learning functions by collecting data training sets and using them to produce predictive models. Tech startups and SMBs that work with or create AI-powered devices use the concept of inductive reasoning to give their devices the capabilities needed to anticipate user wants and needs.

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