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assignment 等级：高级
chat_bubble_outline 语言：英语 -
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## 关键信息

credit_card 免费进入
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timer 6小时总数

## 关于内容

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.

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## 课程大纲

• Week 1 - Background
We cover some basic matrix algebra results that we will need throughout the class. This includes some basic vector derivatives. In addition, we cover some some basic uses of matrices to create summary statistics from data. This includes calculating and subtrac...
• Week 2 - One and two parameter regression
In this module, we cover the basics of regression through the origin and linear regression. Regression through the origin is an interesting case, as one can build up all of multivariate regression with it.
• Week 3 - Linear regression
In this lecture, we focus on linear regression, the most standard technique for investigating unconfounded linear relationships.
• Week 4 - General least squares
We now move on to general least squares where an arbitrary full rank design matrix is fit to a vector outcome.
• Week 5 - Least squares examples
Here we give some canonical examples of linear models to relate them to techniques that you may already be using.
• Week 6 - Bases and residuals
Here we give a very useful kind of linear model, that is decomposing a signal into a basis expansion.
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## 教师

Brian Caffo, PhD
Professor, Biostatistics
Bloomberg School of Public Health

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## 内容设计师 The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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## 平台 Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。

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