Start Here
Named, ordered paths through the guides and tools — pick the one that matches what you’re actually trying to do.
New to PyTorch
Start with how a neural network actually computes, then the tools and errors you’ll hit training your first one on a GPU.
7 steps
Debugging Production ML
The scikit-learn and pandas errors that actually show up once a model leaves a notebook — in the order they usually bite.
5 steps
ML for a Non-ML Business
Real applied case studies — what actually changes when a model goes from a notebook to something a business relies on.
7 steps
LLMs & Embeddings
From what a token actually costs to building retrieval and multi-agent pipelines on top of embeddings.
6 steps
Personal Finance for Freelancers
The calculators worth running once a year (or once a decision) if your income doesn’t come from a single steady paycheck.
5 steps