No Bullshit AINo Bullshit AIno-bullshit-aiCannabis Courseby Distru00 XP
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When It Memorises Instead of Learning

A model can get so good at the examples it was shown that it gets worse at everything else. You will make that happen with a slider, and learn the one test that catches it: hide some answers and see if it can guess them.Overfitting is a model memorising the noise in its training data instead of the pattern. You will cause it on purpose, see why the error on the training data lies to you, and learn to check a model on data it never saw (a held-out set).Model capacity versus generalisation, the bias-variance trade-off made visible on a polynomial fit, held-out and validation sets, and what overfitting looks like in the vendor claims and fine-tunes you will be shown.

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We store your name, your email, which lessons you open and which you finish, and the reading level you use. Distru can see that. Nothing is charged and nothing is sold on.Stored: name, email, which lessons you open and complete, and your level on the dial. Distru staff can see it. No payment, no third-party advertising trackers.stored: name, email, per-lesson view + completion, data-level. visible to Distru. no payment, no ad-tech, no third-party pixels.

Adapted from Microsoft's AI for Beginners (Lesson 5: Frameworks and overfitting), MIT License. Rewritten for cannabis operations; not endorsed by Microsoft.