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所在平台: Udemy |
课程主页: https://www.udemy.com/course/unlocking-insights-machine-learning-in-econometrics/
课程评论：没有评论
课程名称：解锁洞察：经济计量学中的机器学习 课程概述：未来最有价值的技能之一是从数据中解锁洞察。实践者通常在机器学习或经济计量学方面是专家，但往往不懂两者。然而，至少对经济计量学和机器学习的基本概念有一定的了解，可以使实践者最大限度地解锁数据洞察。本课程旨在弥合这两个领域之间的差距。熟悉机器学习的人将从经济计量思维的实例中受益，而经济计量学家则将从机器学习概念的讨论中受益。 在本课程中，我将讨论机器学习和经济计量学交汇处的关键概念。首先，我将比较和对比这两个领域，然后进入基本的数据处理技能，接着讨论探索性数据分析的关键，并以在机器学习背景下使用回归进行经济预测的部分结束。我将提供一些概念的Python代码示例，并通过基本案例研究预测不同国家的经济增长。这是一门入门课程，提供最重要观念的概述和总结，未来的课程将深入探讨各个概念，如有建议，请随时与我联系！
One of the most valuable skills for the future will be unlocking insights from data. Often, practitioners are experts in machine learning or econometrics, but not both. However, having at least a basic understanding of the concepts in both econometrics and machine learning will allow practitioners to unlock data insights to the fullest extent. This course is designed to be a first step in bridging the gap between the two fields. Those fluent in machine learning will benefit from examples of econometric thinking, and econometricians will benefit from discussions of machine learning concepts. In this course, I will discuss the key concepts at the intersection of machine learning and econometrics. I will start by comparing and contrasting the two fields, then I will move into basic data handling skills, then I will discuss keys to exploratory data analysis, and end with a segment on using regression in a machine learning context to make economic predictions. I will give Python code examples for some concepts, and work through a basic case study predicting the economic growth of different countries around the world. This is an introductory course that provides overviews and summaries of the most important ideas, in future courses I will dig deeper into individual concepts - feel free to message me with suggestions!
