Review of Probability Theory

A. Maleki, Tom Do
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引用次数: 6

Abstract

Probability theory is the study of uncertainty. Through this class, we will be relying on concepts from probability theory for deriving machine learning algorithms. These notes attempt to cover the basics of probability theory at a level appropriate for CS 229. The mathematical theory of probability is very sophisticated, and delves into a branch of analysis known as measure theory. In these notes, we provide a basic treatment of probability that does not address these finer details.
概率论回顾
概率论是对不确定性的研究。通过这门课,我们将依靠概率论的概念来推导机器学习算法。这些笔记试图涵盖概率论的基础知识,在适当的水平为cs229。概率论的数学理论是非常复杂的,它深入研究了一个被称为测量理论的分析分支。在这些注释中,我们提供了对概率的基本处理,而不涉及这些更精细的细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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