Data Science: Statistics and Machine Learning Specialization

开始时间: 07/04/2020 持续时间: Unknown

所在平台: Coursera专项课程

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/specializations/data-science-statistics-machine-learning

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课程详情

Build models, make inferences, and deliver interactive data products. This specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material. The five courses in this specialization are the very same courses that make up the second half of the Data Science Specialization. This specialization is presented for learners who have already mastered the fundamentals and want to skip right to the more advanced courses.

数据科学:统计和机器学习专业:构建模型,进行推理并提供交互式数据产品。 该专业化将继续发展,并以使用R专业化的数据科学基础知识为基础。它涵盖了统计推断,回归模型,机器学习和数据产品的开发。在Capstone项目中,您将应用通过使用实际数据构建数据产品而学到的技能。完成后,学习者将拥有一个档案袋,以证明他们对材料的掌握。 本专业的五门课程与构成数据科学专业下半部分的课程完全相同。该专业专为已精通基础知识并希望直接跳到更高级课程的学习者而设。

课程大纲

Statistical Inference
Regression Models
Practical Machine Learning
Developing Data Products

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课程简介

约翰霍普金斯大学的数据科学专项课程:统计和机器学习(Data Science: Statistics and Machine Learning Specialization),这个系列包括4门子课程,统计推断、回归模型、机器学习实践、数据产品开发,感兴趣的同学可以关注:Build models, make inferences, and deliver interactive data products.

课程标签

数据科学 统计 统计学 机器学习 统计推断 回归模型 机器学习实战 机器学习实践

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