Practical AI: Building Useful Models in Real Projects
Practical AI: Building Useful Models in Real Projects Building AI models that truly help people is different from chasing fancy accuracy. In real projects, value comes from reliability, speed, and clear outcomes. This guide shares practical steps you can use from day one: define a useful goal, work with good data, and keep the model under control as it moves from prototype to production. Start by framing a concrete problem you can measure. Agree on who benefits, what success looks like, and how you will judge it. Use simple baselines to set a floor. Collect data with consent and quality in mind, and document its source. A small, well understood model that works steadily beats a big but flaky system. ...