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SAT 阅读实例之Machine learning
作者:admin 2014-9-1 15:24 浏览(514)
导读:sat阅读文章, so as to be able to produce a useful output in new cases. Artificial intelligence is a closely related field, as are probability theory and statistics, data mining, adaptive control,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,SAT专业的培训机构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 da ...

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,

sat阅读文章

, as are probability theory and statistics, adaptive control, so as to be able to produce a useful output in new cases. Artificial intelligence is a closely related field,

SAT专业的培训机构

, pattern recognition, data mining, 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, computational neuroscience and theoretical computer science.

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