This course includes

61 Playgrounds

12 Quizzes

Course Overview

Matrix algebra is the foundation for machine learning, signal processing, image processing, and many other popular algorithms. It is very important that aspiring computer scientists get a solid understanding of the subject, and there’s no better way to achieve this than coding matrix algebra operations. The course aims to teach you how to code matrix algebra operations in R, and with main C++ matrix algebra libraries: RcppArmadillo and RcppEigen. Moreover, to clarify the matrix algebra operations, a simpl...

What You'll Learn

An understanding of introductory matrix algebra

Working knowledge of coding matrix algebra operations in R

Ability to implement simple matrix algebra algorithm in Rcpp

Hands on experience of using RcppArmadillo and RcppEigen in R

What You'll Learn

An understanding of introductory matrix algebra

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Course Content

1.

Introduction

2.

Assignment Operator

3.

Addition of Matrices

4.

Scalar Multiplication of Matrices

5.

Multiplication of Matrices

6.

Transposition of Matrices

3 Lessons

7.

Determinant of a Matrix

3 Lessons

8.

Inverse of a Matrix

3 Lessons

9.

System of Linear Equations

3 Lessons

10.

LU Matrix Factorization

3 Lessons

11.

Cholesky Factorization

3 Lessons

12.

QR Matrix Factorization

3 Lessons

13.

Eigendecomposition

3 Lessons

14.

Wrapping It Up

1 Lesson

Course Author

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Anthony Walker

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Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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