Applying Linear Algebra with R

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Brandon Strain

1:15:32

11 View

01 - Course Overview

01 - Course Overview.mp4

01:56

02 - Working with Vectors and Matrices in R

02 - Working with Vectors and Matrices in R.mp4

07:05

03 - Understanding Operations on Matrices

03 - Understanding Operations on Matrices.mp4

04:54

04 - Getting Weird - Inverting, Transposing, and Row Equivalence

04 - Getting Weird.mp4

09:59

05 - Solving Linear Equations

05 - Solving Linear Equations.mp4

07:51

06 - Understanding and Calculating Eigenvalues and Eigenvectors

06 - Understanding and Calculating Eigenvalues and Eigenvectors.mp4

08:12

07 - Calculating the kth Item in a Series

07 - Calculating the kth Item in a Series.mp4

00:32

08 - Difference Equations.mp4

05:38

09 - Demo - Calculating the kth Item in a Series.mp4

05:41

08 - Implementing Matrix Decomposition

10 - Implementing Matrix Decomposition.mp4

07:10

11 - Demo - Implementing Matrix Decomposition.mp4

06:34

09 - Using Least Squares Calculations

12 - Using Least Squares Calculations.mp4

04:56

13 - Demo - Using Least Squares Calculations.mp4

05:04

Description

Take this course if you want to dive into the math behind regression, principal component analysis, and other machine learning topics. The course is in R and is mathematically intense, but the topics can be implemented in any programming language.

What You'll Learn?

Would you like to better understand the basics of linear algebra so that you can better understand the techniques used in regression and machine learning? In this course, Applying Linear Algebra with R, you will learn foundational knowledge to understand what is going on in predictive models, how to extract important information from large data sets, and the basics of linear regression in R. First, you will learn basic matrix arithmetic. Next, you will discover advanced matrix mathematics that will help build your foundation. Finally, you will explore how to put this math together into real world applications. When you are finished with this course, you will have the skills and knowledge of Linear Algebra in R needed to better implement basic machine learning techniques and springboard into more advanced topics like generalized linear models.

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Linear Algebra

R Programming

Brandon Strain

Instructor's Courses

Brandon has a BSc in Mathematics from Huston-Tillotson University and is a master’s candidate in Northwestern University's Predictive Analytics program, where he specializes in predictive modeling. He spent seven years in the U.S. Navy where he developed a pragmatic and engaging teaching style. Brandon's aversion to academic nonsense and penchant for student engagement earned him jobs training the Navies of Senegal, Cabo Verde, Gabon, and Nigeria on behalf of the United States. Brandon began learning R with no programming knowledge. He learned everything by trial-and-error from documentation, forums, and blogs. He is excited to provide comprehensive courses that lay everything out in the way that Brandon wishes someone would have done for him. He has previously worked on modeling anomalies in ship navigation and digitizing hand-written documents. Brandon currently lives in central Japan, where he is applying analytics to human resources processes within the Navy.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.