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概率和数学需求

Probability and Mathematical Needs
课程网址: http://videolectures.net/bootcamp2010_anthoine_pmn/  
主讲教师: Sandrine Anthoine
开课单位: 艾克斯-马赛大学
开课时间: 2010-08-05
课程语种: 英语
中文简介:
本课程包括线性代数和概率的基础知识,以及优化的简要介绍。在线性代数中,课程从定义向量空间,维数,基,向量张成的空间等开始。介绍了范数和点积以及希尔伯特空间。然后解决了求解线性系统的问题,引入矩阵、特征值……和一些常见的因数分解(SVD, LU, Choleski, QR)。在概率中,我们从离散和连续随机变量的定义出发,给出常见的例子,介绍独立和条件概率的概念。我们利用贝叶斯框架处理估计问题,给出信息论的基本定义(熵、库尔巴克-莱伯散度),并引入误差界(Hoeffding界)。简要介绍了极值和凸函数的定义。给出了一个约束极小化的例子。
课程简介: This lectures covers basics in linear algebra and probabilities as well as a brief introduction to optimization. In linear algebra, the lecture starts with the definition of vectors spaces, dimension, basis, span of vectors and so forth. Norms and dot products as well as Hilbert spaces are introduced. Then the problem of solving linear system is tackled, introducing matrices, eigenvalues... and some common factorization (SVD, LU, Choleski, QR). In probabilities, we start from the definition of discrete and continuous random variables, give common examples, introduce the concepts of independence and conditional probabilities. We tackle estimation through Bayes framework, give the basic definitions in information theory (entropy, Kullback-Leibler divergence) and introduce error bounds (Hoeffding bounds). Optimization is briefly introduced defining extrema and convex functions. An example of constrained minimization is demonstrated.
关 键 词: 线性代数; 概率; 希尔伯特空间
课程来源: 视频讲座网
最后编审: 2020-09-28:heyf
阅读次数: 52