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预测:机器学习和统计(麻省理工)

15.097 Prediction: Machine Learning and Statistics (MIT)
课程网址: http://ocw.mit.edu/courses/sloan-school-of-management/15-097-pred...  
主讲教师: Prof. Cynthia Rudin
开课单位: 麻省理工学院
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
预测是几乎所有科学学科的核心,从数据中进行泛化(即预测)的研究是机器学习和统计的中心主题,更一般地说,是数据挖掘。整个科学界使用机器学习和统计方法来处理“信息过载”。这是我们当前数字时代的特征。机器学习是从人工智能社区发展起来的,主要是在过去的30年里,同时由于现代计算的可用性,统计数据取得了重大进展。然而,这两个领域的一部分旨在实现相同的目标,即从数据预测。本课程提供了这两个学科中最重要的主题选择。
课程简介: Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific world for their use in handling the "information overload" that characterizes our current digital age. Machine learning developed from the artificial intelligence community, mainly within the last 30 years, at the same time that statistics has made major advances due to the availability of modern computing. However, parts of these two fields aim at the same goal, that is, of prediction from data. This course provides a selection of the most important topics from both of these subjects.
关 键 词: 机器学习; 统计方法; 数据的预测
课程来源: 麻省理工大学公开课
最后编审: 2015-11-29:cmh
阅读次数: 91