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Teaching Repository

Welcome to my Teaching repository. This collection contains lecture slides, supplementary materials, and source files I've created for teaching topics related to Statistics, Mathematics, Machine Learning, and Artificial Intelligence. The content is designed to be flexible, with opportunities for contributions and modifications, especially for those who want to expand or adjust the materials to suit their teaching styles.

Repository Structure

The repository contains resources related to the following topics,

  • Statistics: Materials covering basic to advanced statistical techniques.
  • Mathematics: Concepts ranging from algebra to advanced mathematical theory.
  • Machine Learning: Covering supervised, unsupervised, and deep learning methodologies with examples and applications.
  • Artificial Intelligence: Includes topics on theory, ethical considerations, and modern AI techniques.
  • Philosophy (Occasional): Occasional mention or lecture on the intersection of philosophy and other disciplines covered in this repository.

Each folder may contain:

  • Lecture slides (.pdf)
  • Source files (.Rmd, .html, .css)
  • Jupyter notebooks (.ipynb) for live coding sessions
  • Datasets used for statistical or machine learning demonstrations

How to Use

  1. Clone the repository:
    git clone https://github.com/rmharp/Teaching.git
  2. Browse the folders for lecture slides and supplementary files.
  3. Feel free to use, modify, or extend the materials for teaching purposes. Contributions are welcome!

Contributions

Contributions are welcome and encouraged; you can,

  • Improve the existing lecture slides
  • Add new topics or sections
  • Provide additional examples, exercises, or solutions

To contribute:

  1. Fork the repository.
  2. Make your changes.
  3. Submit a pull request with a clear description of your additions or modifications.

License

This repository is open-sourced under the GNU General Public License Version 2, meaning you're free to use, modify, and distribute the material, as long as,

  • The source code is provided or made accessible.
  • Any modifications are shared under the same license.
  • No additional restrictions are imposed on users' rights.
  • The software is provided without any warranty.

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