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Artificial intelligence and Computational learning theory

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Artificial intelligence and Computational learning theory

Artificial intelligence vs. Computational learning theory

Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science, computational learning theory (or just learning theory) is a subfield of Artificial Intelligence devoted to studying the design and analysis of machine learning algorithms.

Similarities between Artificial intelligence and Computational learning theory

Artificial intelligence and Computational learning theory have 9 things in common (in Unionpedia): Bayesian inference, Bayesian network, Computer science, Information theory, Machine learning, Probability, Supervised learning, Support vector machine, Time complexity.

Bayesian inference

Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available.

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Bayesian network

A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).

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Computer science

Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.

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Information theory

Information theory studies the quantification, storage, and communication of information.

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Machine learning

Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

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Probability

Probability is the measure of the likelihood that an event will occur.

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Supervised learning

Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.

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Support vector machine

In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.

Artificial intelligence and Support vector machine · Computational learning theory and Support vector machine · See more »

Time complexity

In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.

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The list above answers the following questions

Artificial intelligence and Computational learning theory Comparison

Artificial intelligence has 543 relations, while Computational learning theory has 35. As they have in common 9, the Jaccard index is 1.56% = 9 / (543 + 35).

References

This article shows the relationship between Artificial intelligence and Computational learning theory. To access each article from which the information was extracted, please visit:

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