Human and machine learning when related to language: Difference between revisions
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Using knowledge, such as the syntax of a language, leads to an appreciation of the difficulties involved in machine language learning. Students should be familiar with the concept of cognitive learning and the use of heuristics and probabilities in machine learning. | Using knowledge, such as the syntax of a language, leads to an appreciation of the difficulties involved in machine language learning. Students should be familiar with the concept of cognitive learning and the use of heuristics and probabilities in machine learning. | ||
== Heuristic == | |||
In computer science, artificial intelligence, and mathematical optimization, a heuristic is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution. This is achieved by trading optimality, completeness, accuracy, or precision for speed. In a way, it can be considered a shortcut.<ref>https://en.wikipedia.org/wiki/Heuristic_(computer_science)</ref> | |||
== Standards == | == Standards == | ||
Revision as of 09:08, 22 February 2019
HL content: Modeling & Simulation[1]
From the IB[edit]
Using knowledge, such as the syntax of a language, leads to an appreciation of the difficulties involved in machine language learning. Students should be familiar with the concept of cognitive learning and the use of heuristics and probabilities in machine learning.
Heuristic[edit]
In computer science, artificial intelligence, and mathematical optimization, a heuristic is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution. This is achieved by trading optimality, completeness, accuracy, or precision for speed. In a way, it can be considered a shortcut.[2]
Standards[edit]
- Discuss the differences between human and machine learning when related to language.