INTERACTIVE COURSE

Intermediate

38 Lessons

19h

Certificate of Completion

AI Explanations

AI Explanations

61 Playgrounds

12 Quizzes

9 Illustrations

Takeaway Skills

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

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...

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

How You'll Learn

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