监督式机器学习算法综述

Vratika Gupta, V. Mishra, Priyank Singhal, Amit Kumar
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引用次数: 7

摘要

机器学习是人工智能的一个子集。机器学习算法可以自动从经验中学习并从中改进,而无需明确编程。机器学习定义了监督学习、无监督学习和强化学习。监督算法是在指导下进行的,而非监督算法是在没有指导的情况下进行的。机器学习在这两种算法中都提供了良好的准确性。本文描述了机器学习的方法、不同类型的监督学习算法、机器学习算法的比较以及机器学习算法的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of Supervised Machine Learning Algorithm
Machine learning is a subset of Artificial intelligence. Algorithms for machine learning automatically learn from experience and improve from it without being explicitly programmed. Machine learning defines Supervised, Unsupervised and Reinforcement Learning. Supervised algorithms are worked on under guidance but unsupervised algorithms are worked on without guidance. Machine learning provides good accuracy in both the algorithms. This paper is describing machine learning methods, different types of supervised learning algorithms, comparison of machine learning algorithms and application of machine learning algorithms.
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