https://github.com/soumilgit/ml-personal-notes

Contains short notes, with diagrams for Machine Learning, specifically focussed on the Math behind and practical perspective.
https://github.com/soumilgit/ml-personal-notes

machine-learning-algorithms math mcp-server transformer-models

Last synced: 4 months ago
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Contains short notes, with diagrams for Machine Learning, specifically focussed on the Math behind and practical perspective.

• Host: GitHub
• URL: https://github.com/soumilgit/ml-personal-notes
• Owner: Soumilgit
• License: mit
• Created: 2025-08-20T16:41:19.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-09-01T14:47:19.000Z (4 months ago)
• Last Synced: 2025-09-01T16:38:31.083Z (4 months ago)
• Topics: machine-learning-algorithms, math, mcp-server, transformer-models
• Homepage:
• Size: 4.1 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

          
# ML-Personal-Notes  

A collection of concise, topic-wise notes on Machine Learning.  

Each topic is documented in a single file that brings together:  

- Mathematical foundations: equations, derivations, and step-by-step explanations.  

- Practical perspectives: implementation insights and applied use-cases.  

- Architectural overviews: structured breakdowns of models and algorithms.  

- Diagrams: visuals that clarify key ideas.  

The goal is to make this a reliable knowledge base that is rigorous yet practical, minimal yet insightful.  

---

## Planned Repository Structure 

```

ML-Personal-Notes/

│── topic-1.md / topic-1.pdf # Notes for a specific ML topic

│── topic-2.md / topic-2.pdf # Notes for another topic

│── ...

│── README.md # You are here

│── template-topic.md # Template for creating new notes

```

Each file is self-contained: math, practice, architecture, and diagrams are all included in one place.  

---

## Purpose  

- Keep notes short, structured, and easy to reference.  

- Make mathematical concepts intuitive and approachable.  

- Always connect theory to practical usage.  

- Serve as a quick reference for interviews, projects, or revisions.  

---

## Contributing  

Contributions are welcome to expand and refine this collection of notes.  

### What to Contribute  

- New topic notes (Markdown or PDF).  

- Additional derivations or alternative proofs for clarity.  

- Practical insights that link mathematics to implementation.  

- Diagrams or visual aids that simplify understanding.  

### Contribution Standards  

1. One file per topic — include math, practical insights, architecture, and diagrams together.  

2. Use Markdown for editable notes; PDFs are optional for polished versions.  

3. Write mathematics clearly (LaTeX formatting preferred in Markdown).  

4. Keep explanations concise and structured; prefer bullets over long paragraphs.  

5. Ensure diagrams are clean, labeled, and embedded in the file.  

6. Maintain a consistent flow within each topic:  

   - Introduction  

   - Mathematical derivations  

   - Practical perspective  

   - Architecture overview  

   - Diagrams  

### How to Contribute  

1. Fork this repository.  

2. Add or update a topic file (`topic-name.md` or `topic-name.pdf`).  

3. Submit a Pull Request with a clear description of your changes and the topic covered.  

---

## License  

This project is licensed under the [MIT License](LICENSE).