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 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 . Hence the learner must generalize from the given examples, 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, pattern recognition, adaptive control, computational neuroscience and theoretical computer science.
雅思阅读判断题NOTGIVEN 全攻略
揭秘:《 阿凡达》 纳美人外星语言诞生之谜
雅思阅读文章(鳄鱼)解析及答案
名师指导 : 雅思阅读部分最基本复习思路
雅思阅读的真题机经:磁疗
雅思考试:雅思
雅思真题讲解 :阅读考试中常识
对比 : 浅谈雅思阅读哪一篇更难?
雅思阅读的双语解析:教育利于预防肥胖
雅思阅读考试的十大要点技巧
雅思阅读文章 (航海日志与气候)解析及答案
雅思阅读|雅思阅读技巧
雅思阅读机经—Transit of venus
雅思阅读怎样对付文中的生词 的问题
雅思阅读的技巧总结
雅思阅读评分标准汇总
浅谈雅思阅读哪一 篇更难
雅思阅读七大高分 法则
加强雅思阅读考试的实 战练习
雅思阅读疑难杂症 巧应对
四大绝招助考生稳拿雅思阅读 高分
雅思阅读多项选择题变化 多端
雅思阅读的考点词
雅思阅读难点解析之“ 剑桥真题系列 ”
雅思阅读人名观点配对题实 例分析
雅思阅读Summary (Part 3 )
雅思考试之雅思阅读: 发现信号词8个要素
雅思阅读考试高分 “ 必杀技 ”
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雅思阅读技巧 利用构词法猜测词义
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