Difference between revisions of "Learning Techniques"

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* [[Decentralized: Federated & Distributed]] Learning
 
* [[Decentralized: Federated & Distributed]] Learning
  
= Machine Learning =
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* [https://en.wikipedia.org/wiki/Machine_learning#History_and_relationships_to_other_fields Machine learning | Wikipedia]
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= <span id="Machine learning (ML)"></span>Machine learning (ML) =
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Machine learning (ML) is a field devoted to understanding and building methods that let machines "learn" – that is, methods that leverage data to improve computer performance on some set of tasks. It is seen as a broad subfield of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. - [https://en.wikipedia.org/wiki/Machine_learning#History_and_relationships_to_other_fields Machine learning | Wikipedia]

Revision as of 10:41, 28 April 2023

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Core: four main types of learning problems in machine learning

Hybrid: drawing from unsupervised and supervised learning


Other Techniques:


Machine learning (ML)

Machine learning (ML) is a field devoted to understanding and building methods that let machines "learn" – that is, methods that leverage data to improve computer performance on some set of tasks. It is seen as a broad subfield of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. - Machine learning | Wikipedia