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Teaching & Academics Math Linear Algebra

Introduction to Linear Algebra

Learn all about Matrices, Gaussian Elimination, RREF, and more Linear Algebra essentials for machine learning
Rating: 4.1 out of 54.1 (56 ratings)
296 students
Created by El Farouk Yasser
Last updated 5/2018
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Understand The Basics of Linear Algebra And Have A Solid Foundation In Linear Algebra

Requirements

  • Basic High School Math

Description

In this course, We will explain the essentials of Linear Algebra and everything that you need to understand the basics of linear algebra. We will cover content such as:

  1. Matrices and Linear System of Equations
  2. Gaussian Elimination
  3. Reduced Echelon Form and RREF
  4. Matrix Algebra
  5. Special Matrices, Diagonal Matrices, and Inverse Matrices
  6. Inverse Matrices and The Inverses of Transposed Matrices
  7. Determinants and computing the Determinant 
  8. Much more!

By the end of this course, you should very comfortable with linear algebra and be able to follow throw any Math which uses the Linear Algebra notation. 

You will also get answers to any questions on any linear algebra questions that you might have for life. 

Who this course is for:

  • Computer Science Students Who Want To Learn More Linear Algebra
  • Students Who Want To Learn The Linear Algebra For Machine Learning and Deep Learning
  • Anyone Who Is Interested In Math And Wants To Study Linear Algebra

Course content

2 sections • 18 lectures • 4h 15m total length

  • Preview02:58

  • Lecture 1 - Linear System of Equations
    17:32
  • Lecture 2 - Elimination Method
    05:29
  • Lecture 3 - Gaussian Elimination Part 1
    10:33
  • Lecture 4 - Gaussian Elimination Part 2
    14:24
  • Preview09:52
  • Lecture 6 - Applications of Gaussian Elimination
    11:18
  • Lecture 7 - Row Echelon Form
    15:45
  • Lecture 8 - Row Echelon Form 2
    19:04
  • Lecture 9 - Matrix Algebra 1
    19:15
  • Lecture 10 - Matrix Algebra 2
    16:33
  • Lecture 11 - Special Matrices, Diagonal and Inverse Matrices
    18:03
  • Lecture 12 - Special Matrices, Diagonal and Inverse Matrices Part 2
    09:25
  • Lecture 13- Inverse Matrices Continued
    17:13
  • Lecture 14 - Inverses and Transpose
    15:40
  • Lecture 15 - Determinants
    16:31
  • Lecture 16 - Determinants 2
    17:25
  • Lecture 17 - Computation of Determinants
    18:33

Instructor

El Farouk Yasser
Double Major in Mathematics and Computer Science
El Farouk Yasser
  • 4.3 Instructor Rating
  • 3,009 Reviews
  • 23,643 Students
  • 7 Courses

I am currently a Senior studying a Double Major in Mathematics and Computer Science, which are my main two passions. I have so many passions and interests. They include but are not limited to Competitive programming, Math Proofs, video game programming, and machine learning just to name a few! However, I would have to say that my main passion is teaching. I really enjoy teaching to everyone, and I really enjoy when my students get that "Aha!" moment. 

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