概率论和统计推断Essentials of Probability and Statistical Inference IV |
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课程网址: | http://ocw.jhsph.edu/index.cfm/go/viewCourse/course/EssentialsPro... |
主讲教师: | Rafael Irizarry |
开课单位: | 布隆博格公共卫生学院 |
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: | 介绍了现代基于计算的数据挖掘和推理方法的理论和应用。涵盖重新采样方法、非参数回归、预测、维数约简和聚类。具体主题包括蒙特卡罗模拟、引导交叉验证、样条曲线、局部加权回归、cart、随机林、神经网络、支持向量机和分层聚类。去强调证明, 并取代它与广泛的讨论解释的结果和模拟和数据分析的说明。 |
课程简介: | Introduces the theory and application of modern, computationally-based methods for exploring and drawing inferences from data. Covers re-sampling methods, non-parametric regression, prediction, and dimension reduction and clustering. Specific topics include Monte Carlo simulation, bootstrap cross-validation, splines, local weighted regression, CART, random forests, neural networks, support vector machines, and hierarchical clustering. De-emphasizes proofs and replaces them with extended discussion of interpretation of results and simulation and data analysis for illustration. |
关 键 词: | 生物统计学; 非参数回归; 神经网络 |
课程来源: | 布隆博格公共卫生学院公开课 |
最后编审: | 2016-04-03:cmh |
阅读次数: | 23 |