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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-bayesian-statistics-thinking-in-probabilities/
课程评论：没有评论
课程名称：掌握贝叶斯统计：概率思维 课程概述： 本课程将帮助您了解贝叶斯统计与传统频率方法的不同之处，学习如何运用贝叶斯定理根据证据来更新信念。您将学习如何可视化先验、似然、后验和可信区间，并在现实生活中将贝叶斯方法应用于医学、A/B 测试、机器学习等多个领域。 课程描述： 您是否厌倦了仅仅记忆 p 值，却不真正理解它们的含义？您想通过数据做出更明智、更有根据的决策吗？贝叶斯统计在样本量较小或存在不确定性的情况下尤其有效。本初级课程将引导您了解贝叶斯思维的核心概念，这是一种强大的统计方法，能够让您根据真实和重要的数据更新信念，从而得出更准确的结论。 无论您是学生、数据分析师、研究人员还是好奇的学习者，您都会清晰理解先验、似然、后验，以及贝叶斯逻辑如何在背后运作。我们将通过易于理解的示例，如医疗检测准确性、抛硬币和信念、学校测试分数的层级模型、贝叶斯回归与决策制定等，让您轻松上手。此外，本课程无需重数学或编码背景，旨在提升您的直觉和信心。 课程结束时，您将能够： 1. 理解贝叶斯思维的重要性 2. 以新颖的方式解读不确定性 3. 清楚地向他人解释贝叶斯思想 让我们开始这段旅程，提升您的统计思维（贝叶斯方式）。
What you'll learn:Understand how Bayesian statistics differs from traditional (frequentist) methodsUse Bayes' Theorem to update beliefs based on evidenceVisualize priors, likelihoods, posteriors, and credible intervalsApply Bayesian methods in real-life contexts: medicine, A/B testing, machine learning, and moreBuild intuitive understanding using visual examples and simplified modelsCreate your own Bayesian analysis from scratch using real or simulated dataCourse Description:Are you tired of memorizing p-values without really understanding what they mean? Do you want to make smarter, more informed decisions with data? Bayesian statistics is especially helpful when your sample size is small or uncertain!Welcome to Master Bayesian Statistics: Thinking in ProbabilitiesThis beginner-friendly course will walk you through the core concepts of Bayesian thinking - which is a powerful approach to statistics - and allows you to update your beliefs using real and important data to bring to you more accurate conclusions.Whether you're a student, data analyst, researcher, or curious learner, you'll gain a clear understanding of priors, likelihood, posteriors, and how Bayesian logic works behind the scenes.We'll use easy-to-follow examples like:Medical test accuracyCoin tosses and beliefsHierarchical models like school test scoresBayesian regression and decision-makingReal-world applications in AI, business, and healthNo heavy math or coding is required to start. This course builds your intuition and confidence before we apply any tools like R.By the end of this course, you will be able to:Understand why Bayesian thinking mattersKnow how to interpret uncertainty in a powerful new wayBe able to explain Bayesian ideas clearly to othersNow, let's get started and level up your statistical thinking (the Bayesian way).
