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LearnLoop

AI & ML

Models, chatbots, fairness

  1. Lesson 1 · ⏱ 6 min · 3 steps
    What is machine learning?
    Computers learn patterns from examples instead of rules.
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  2. Lesson 2 · ⏱ 12 min · 3 steps
    Predict with neighbours
    Build a tiny classifier that guesses by asking its closest neighbour.
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  3. Lesson 3 · ⏱ 10 min · 4 steps
    Train it, then test it
    Why we hide some data from the model, and how to score it.
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  4. Lesson 4 · ⏱ 10 min · 3 steps
    A tiny neuron
    Build the smallest piece of a neural network: weigh inputs, then fire or not.
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  5. Lesson 5 · ⏱ 12 min · 4 steps
    How chatbots work
    Build a tiny next-word predictor and see why chatbots can be confidently wrong.
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  6. Lesson 6 · ⏱ 10 min · 4 steps
    Fair data, fair models
    Measure how lopsided a dataset is, and why that matters.
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  7. Lesson 7 · ⏱ 12 min · 4 steps
    Learning by nudging
    Measure how wrong a guess is, then nudge it closer, again and again.
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