How Machines Learn From Data
Machine learning goes from a vague idea to something you can picture: what learning from data means, which kinds of learning exist, the workflow a real project follows, and what actually happens inside the training loop. Each part builds the mental model the next one needs.
CodePLU Goal
Upgrading Human Mental Models
Learn how to think in Workflows
What Is Machine Learning?
Discover how machine learning flips traditional programming on its head: instead of writing rules for the computer, you show it examples and it works out the rules itself.
What Are the Types of Machine Learning?
Machines learn in three different ways — from examples with answers attached, from data with no answers at all, or by trying things and being rewarded. Learn which kind suits which job.
What Is the Machine Learning Workflow?
Walk through the five steps every machine learning project follows — collect, prepare, train, evaluate, deploy — and the loop-back that saves projects when the model fails its exam.
What Happens Inside the Machine Learning Training Loop?
Step inside the training loop — the repeating guess-check-adjust cycle that turns a clueless model into a skillful one, one tiny correction at a time.