AI/ML Modules for Engineering Students -- 2

Please read the full project before bidding. This is a serious competitive. The price and timeline you submit must be genuine, final and committing. I consider and read all serious bids and bidders. Don't waste my time with a fake bid or a placeholder to get me to message you (I will ignore your bid and may even block you). Based on your bid including budget, time to finish, offer details (description), as well as after reviewing your profile, I will only contact shortlisted bidders.

This is a seed project with the potential of related ongoing projects and rehire. This bid is only for 1 topic i.e. the total projects are worth > $1000

I am developing a series of **AI/ML modules** tailored for engineering students (non-CS background). The focus is on **mathematical clarity, algorithmic reasoning, and illustrative MATLAB examples. I am not looking for production-level code or numerical optimization tricks to save memory, computation time...etc.

Each topic must follow the same general structured format:

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1) Engineering Mathematics (no skipped steps)

A clear concise explanation of mathematics required for the topic or module. It could be linear algebra, statistics, optimization
Each topic or module will have its own mathematics.
For example in Supervised learning regression
Norm, Tensor, and regression mathematics are essential


2) Numerical Method / Algorithm (no missing steps)

- Flow (textual flowchart):

- Pseudocode: language-agnostic, step-by-step, with nothing skipped .

3) MATLAB Illustrative Example(s)

MATLAB 2025 has many AI tools — prefer built-in functionality only for visualization and diagnostics; the core algorithm must be derived and coded manually for educational clarity.

Topics to Cover

1. Regression
2. Classification
3. kNN & Decision Tree
4. Clustering: K-means
5. Dimension Reduction
6. Artificial Neural Networks (ANN)
7. Autoencoder
8. Convolutional Neural Networks (CNN)
9. Explainable AI (XAI)
10. Recurrent Neural Networks (RNN)
11. Transfer Learning
12. Physics Informed Neural Network
13. Generative AI diffusion models, transformers


Deliverables

For each topic:
- Microsoft PowerPoint presentations using standard slide layout (size is wide screen 16:9), readable fonts, and color contrast suitable for dark however it should also work with white background. I will copy your slides into my own PowerPoint template.
- Microsoft word for the same work however it contains more explanation and the notes

Consistency across topics is critical.

This bid is for only one topic which topic? Tell me which and describe how you will approach it what Mathematics you will use!