在SAT考试中，阅读部分需要花费更多时间和精力准备，了解清楚SAT阅读背景资料会更有利于我们正确把握文章大义。下面澳际小编搜集整理了SAT阅读背景材料：Machine learning，希望能够帮助大家更好地备考SAT阅读考试。

　　Machine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. A learner can take advantage of examples (data) to capture characteristics of interest of their unknown underlying probability distribution. Data can be seen as examples that illustrate relations between observed variables. A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data; the difficulty lies in the fact that the set of all possible behaviors given all possible inputs is too large to be covered by the set of observed examples (training data). Hence the learner must generalize from the given examples, so as to be able to produce a usul output in new cases. Artificial intelligence is a closely related field, as are probability theory and statistics, data mining, pattern recognition, adaptive control, computational neuroscience and theoretical computer science.

　　以上便是澳际小编为大家整理的SAT阅读背景材料：Machine learning的相关介绍，希望对大家有所帮助。更多SAT考试相关资料尽在澳际教育网SAT考试频道，澳际小编祝大家都能取得理想的SAT阅读考试成绩!

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