“Dividing mathematics into linear and non-linear is like dividing the world into banana and non-banana” — Google Gemini

Matrices are the Legos of the Universe

In this video, we delve into using Scilab & chatGPT O1. See how to make prompts to turn Python or R code into math!

R CODE

https://github.com/sdcastillo/AI-from-Linear-Algebra

You can run this code using R and Rstudio. place this dataset in your directory and load into

SciLab Code

​Scilab is a free and open-source software package for numerical computation, providing a powerful computing environment for engineering and scientific applications.

To download the latest version of Scilab, follow these steps:

  1. Visit the Official Scilab Website: Go to the Scilab download page.

  2. Select Your Operating System: Choose the appropriate installer for your operating system:

    • Windows 8, 10, 11: Download the 64-bit executable.
    • GNU/Linux: Download the 64-bit tar.xz archive.
    • macOS:
      • For Intel-based Macs, download the 64-bit (Intel) dmg file.
      • For ARM-based Macs (e.g., those with M1 or M2 chips), download the 64-bit (ARM) dmg file.

  3. Install Scilab:

    • Windows: Run the downloaded .exe file and follow the on-screen instructions.
    • GNU/Linux: Extract the tar.xz archive and follow the installation instructions provided in the package.
    • macOS: Open the .dmg file and follow the standard macOS installation process.

For detailed installation instructions and system requirements, refer to the Scilab 2025.0.0 release notes.

If you encounter any issues during installation or need further assistance, the Scilab community forums are a valuable resource.

Below is a sample SciLab script that demonstrates how to implement and estimate the same Gaussian GLM (linear model) using the normal equations. This example reads a design matrix X (from model_matrix.csv) and a numeric response vector y (from y.csv). Each file is assumed to be purely numeric with no header row.

This is some basic, sample markdown.

_