Machine learning: Difference between revisions
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(Created page with "Machine learning is a branch of artificial intelligence that enables software to improve in accuracy and prediction without the directional action of a human to improve the software in question. Classical machine learning is based on algorithms that improve the data provided and processed. These algorithms build a model from the provided data to make predictions or decisions without being programmed by humans to perform these actions. Machine learning algorithms are u...") |
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Machine learning is a branch of artificial intelligence that enables software to improve in accuracy and prediction without the directional action of a human to improve the software in question. | Machine learning is a branch of [[Artificial Intelligence|artificial intelligence]] that enables software to improve in accuracy and prediction without the directional action of a human to improve the software in question. | ||
Classical machine learning is based on algorithms that improve the data provided and processed. These algorithms build a model from the provided data to make predictions or decisions without being programmed by humans to perform these actions. | Classical machine learning is based on algorithms that improve the data provided and processed. These algorithms build a model from the provided data to make predictions or decisions without being programmed by humans to perform these actions. | ||
Machine learning algorithms are used in many fields, including medicine, email filtering, and speech recognition. | Machine learning algorithms are used in many fields, including medicine, email filtering, and speech recognition. | ||
Latest revision as of 16:15, 4 July 2022
Machine learning is a branch of artificial intelligence that enables software to improve in accuracy and prediction without the directional action of a human to improve the software in question.
Classical machine learning is based on algorithms that improve the data provided and processed. These algorithms build a model from the provided data to make predictions or decisions without being programmed by humans to perform these actions.
Machine learning algorithms are used in many fields, including medicine, email filtering, and speech recognition.
