'''机器学习 Machine Learning(ML)'''是计算机科学的分支——[[人工智能]]的一个子集,它通常使用统计学方法,借助数据,赋予计算机“学习”的能力(例如,逐渐提高在特定任务上的表现)而不需要明确编写学习过程<ref name =" 2w">The "without being explicitly programmed" definition is often attributed to Arthur Samuel, who coined the term "machine learning" in 1959. But the phrase is not found literally in this publication, and may be a paraphrase that appeared later. Confer "Paraphrasing Arthur Samuel (1959), the question is: How can computers learn to solve problems without being explicitly programmed?" in Koza, John R.; Bennett, Forrest H.; Andre, David; Keane, Martin A. (1996). [https://link.springer.com/chapter/10.1007/978-94-009-0279-4_9 Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming]. Artificial Intelligence in Design '96. Springer, Dordrecht. pp. 151–170. [https://doi.org/10.1007/978-94-009-0279-4_9 doi:10.1007/978-94-009-0279-4_9] </ref>。 | '''机器学习 Machine Learning(ML)'''是计算机科学的分支——[[人工智能]]的一个子集,它通常使用统计学方法,借助数据,赋予计算机“学习”的能力(例如,逐渐提高在特定任务上的表现)而不需要明确编写学习过程<ref name =" 2w">The "without being explicitly programmed" definition is often attributed to Arthur Samuel, who coined the term "machine learning" in 1959. But the phrase is not found literally in this publication, and may be a paraphrase that appeared later. Confer "Paraphrasing Arthur Samuel (1959), the question is: How can computers learn to solve problems without being explicitly programmed?" in Koza, John R.; Bennett, Forrest H.; Andre, David; Keane, Martin A. (1996). [https://link.springer.com/chapter/10.1007/978-94-009-0279-4_9 Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming]. Artificial Intelligence in Design '96. Springer, Dordrecht. pp. 151–170. [https://doi.org/10.1007/978-94-009-0279-4_9 doi:10.1007/978-94-009-0279-4_9] </ref>。 |