Inference

Inference is the process of reaching conclusions from data, observations, or premises. In statistics and data science, it refers to methods for drawing conclusions about populations from samples; in AI, it describes how trained models make predictions.

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General definition:

Inference is the process of drawing a reasoned conclusion from a set of information, premises, or observed data. In other words, it is the act of deducing or estimating new statements from what is already known.

In statistics and data science:

  • Refers to the set of methods and techniques used to draw conclusions about a population based on a sample of data.
  • Example: using a sample of 1,000 people to infer the opinion of a population of 7 million.
  • This includes concepts such as point and interval estimation, hypothesis testing, regression, and predictive models.

In logic and philosophy:

  • To infer means to deduce a proposition from other propositions by applying rules of reasoning (deduction, induction, abduction).

In artificial intelligence and machine learning:

  • Refers to the process by which a trained model applies what it has learned to predict or classify new cases.
  • Example: a computer vision model that, once trained, performs inference to recognize cats in new images.

Everyday example:
If you see wet ground and a folded umbrella at the entrance, you may infer that it has rained.

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