Solution for system of equations with numpy linear algebra package,Elementary equations and row reduction,solution for the system of equations using row reduction

Course Q&A Math for Machine Learning Linear Algebra for Machine Learning and Data Sc...
1

please help in explaining the topics above in a simple way

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Hello Peter. Please let me know which week this question is from and I will add it to that category. And I am sure our community can help you.

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I think week 2

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i am yet to understand where you put it

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Hello @Peter_Obade
Have you watched the entire videos in the course? Most of these concepts are explained later in the course. But here is a brief explanation

Solution for the system of equations with NumPy linear algebra package
We use a NumPy linear algebra function named linalg.solve() in finding a solution for a system of equations eg for this equations
2x + 3y = 8
4x + 5y = 14

Elementary equations and row reduction

Row reduction is a method used to solve systems of equations by manipulating the coefficients of the variables in a matrix. It involves applying elementary equations, which are operations that you can perform on the rows of a matrix without changing the solution to the system of equations.

There are three elementary equations that you can use:

  1. Swapping two rows
  2. Multiplying a row by a non-zero constant
  3. Adding a multiple of one row to another row

You can also refer to this short course for more details Linear Algebra | Khan Academy

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hello Isaac,
please illustrate more how to use linear algebra function using videos