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Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical 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 algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop  conventional algorithms to perform the needed tasks.

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical 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 algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop  conventional algorithms to perform the needed tasks.

'''机器学习 ML'''关于如何通过经验学习来实现自动改进的计算机算法研究。它被看作是人工智能的一个子集''（属于人工智能的范畴）''。机器学习算法的基础是建立一个基于样本数据（称为“训练数据”）的数学模型，以便在没有明确编程策略的情况下进行预测或决策。机器学习算法被广泛应用于各种各样的场景中，如电子邮件过滤和计算机视觉等。而这些问题，如果仅仅使用传统算法来实现是十分困难的，甚至是或不可行的。

'''机器学习 ML'''是关于如何通过经验学习来实现自动改进的计算机算法研究。它被看作是人工智能的一个子集''（属于人工智能的范畴）''。机器学习算法的基础是建立一个基于样本数据（称为“训练数据”）的数学模型，以便在没有明确编程策略的情况下进行预测或决策。机器学习算法被广泛应用于各种各样的场景中，如电子邮件过滤和计算机视觉等。而这些问题，如果仅仅使用传统算法来实现是十分困难的，甚至是不可行的。