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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-bayesian-statistics/
课程评论：没有评论
课程名称：贝叶斯统计入门 课程概述：贝叶斯统计广泛应用于多个领域，从机器学习到数据分析，再到体育博彩等，甚至被赏金猎人用来追寻满载黄金的沉船！该初学者课程将从零基础介绍贝叶斯统计，适合刚踏入这一领域的新手，也适合希望深入理解的有经验的学习者。课程起始于概率的基本概念，以此区分贝叶斯方法与频率派方法。接着，我们将学习条件概率，并推导出所谓的“幼儿贝叶斯定理”，并应用于多个场景，包括文氏图、树图和正态分布问题。随后，我们将推导贝叶斯定理本身，并通过两个著名的反直觉例子来说明。最后，我们将探讨托马斯·贝叶斯在250多年前提出的难题，探讨如何利用贝叶斯定理和一些微积分知识来解决这一难题。
Bayesian statistics is used in many different areas, from machine learning, to data analysis, to sports betting and more. It's even been used by bounty hunters to track down shipwrecks full of gold!This beginner's course introduces Bayesian statistics from scratch. It is appropriate both for those just beginning their adventures in Bayesian statistics as well as those with experience who want to understand it more deeply.We begin by figuring out what probability even means, in order to distinguish the Bayesian approach from the Frequentist approach.Next we look at conditional probability, and derive what we call the "Baby Bayes' Theorem", and then apply this to a number of scenarios, including Venn diagram, tree diagram and normal distribution questions.We then derive Bayes' Theorem itself with the use of two very famous counter-intuitive examples.We then finish by looking at the puzzle that Thomas Bayes' posed more than 250 years ago, and see how Bayes' Theorem, along with a little calculus, can solve it for us.
