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Machine learning looks simple until you try to build something that works.

Inference explores what happens between an idea and a reliable AI system. We break down the concepts behind machine learning, build practical projects, and look at the mistakes that are easy to miss when everything works in a tutorial.

Expect clear explanations, working code, visual stories, and honest lessons from data preparation to model training, evaluation, deployment, and modern AI systems.

The goal is simple: understand how the machine works, why it fails, and how to make it better.

AI, built. Not hyped.