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Machine learning in practice

PRO · 60 minutes · Train, evaluate and deploy responsibly.

Visual learning map for Machine learning in practice: observe, try, then explain. Train, evaluate and deploy responsibly.
Visual learning map for Machine learning in practice: observe, try, then explain. Train, evaluate and deploy responsibly.

Answer by: Type. You can change method or take a break at any time.

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Our learning goal

Train, evaluate and deploy responsibly.

Your turn: Choose one thing you would like to understand by the end.

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My lesson notes & project
Full teaching script
  1. Today: Machine learning in practice. Our goal: Train, evaluate and deploy responsibly.
  2. Take one idea at a time. Pause after each sentence; ask for repetition whenever you need it.
  3. Split train/validation/test before you look. Bias–variance governs capacity choice; regularisation and early stopping control overfit. Evaluate with the metric that matches the cost of each error, not accuracy by default. Deployment adds drift, monitoring, fairness audit and rollback.
  4. Together: choose one example from the explanation and show how it works. What do you notice?
  5. Your turn: Train one model and report precision, recall and a confusion matrix.
  6. Reflect: what made sense, and what would you like explained differently?
Teacher lessons & videos

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