Interactive resources built for this course — open in your browser, no setup required.
| Module | Tool | Description |
|---|---|---|
| 4 — ML Foundations | Clinical ML Consultant | Diabetes screening simulation — threshold analysis, CMO constraints, deployment decisions |
| 6 — Deep Learning | Interactive DL Walkthrough | Neurons, convolutions, and architecture explorer |
| 6 — Deep Learning | DermaMNIST Strategy Guide | Progressive hints for the Beat the Baseline challenge |
| 6 — Deep Learning | Experiment Report | 25 experiments showing what works in CNN training |
| 6 — Deep Learning | HW5 Pneumonia Detection Report | Complete CNN pipeline — data to Grad-CAM on PneumoniaMNIST |
| 7 — Clinical NLP | NLP Walkthrough Notebook | Tokenization, embeddings, NER, and report classification |
| 8 — LLMs in Medicine | LLM Arena Lab | Compare models on clinical tasks — hallucination, safety, prompting |
Recommended IDE: Visual Studio Code with Python and Jupyter extensions
Package Manager: uv — Fast, modern Python package management
# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create and activate environment
uv venv
source .venv/bin/activate
Version Control: GitHub Desktop if you prefer a GUI, or command-line git
Primary:
Supplementary: