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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'''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。
'''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。它属于人工智能领域中的一部分。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。
|year=1997}}</ref> This definition of the tasks in which machine learning is concerned offers a fundamentally operational definition rather than defining the field in cognitive terms. This follows Alan Turing's proposal in his paper "Computing Machinery and Intelligence", in which the question "Can machines think?" is replaced with the question "Can machines do what we (as thinking entities) can do?".
|year=1997}}</ref> This definition of the tasks in which machine learning is concerned offers a fundamentally operational definition rather than defining the field in cognitive terms. This follows Alan Turing's proposal in his paper "Computing Machinery and Intelligence", in which the question "Can machines think?" is replaced with the question "Can machines do what we (as thinking entities) can do?".
这个关于机器学习任务的定义是一个基本的操作型定义，但并不是通过已知的术语来进行定义的。此前，阿兰 · 图灵 Alan Turing在他的论文《计算机器与智能 Computing Machinery and Intelligence》中提出了“机器能思考吗?”这个问题的替代问题为“机器能做我们(作为思考实体)能做的事情吗？”.
=== 与人工智能 Artificial intelligence的关系Relation to artificial intelligence ===
=== 与人工智能 Artificial intelligence的关系Relation to artificial intelligence ===