Machine Learning & AI Engineering Foundations

Deliver the Repair Forecast Decision Pack

Integrate the experiments into a reproducible equipment-planning project with clear human-review boundaries.

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The curriculum

  1. Freeze the Prediction Moment — Free preview

    Choose the target, feature availability and time boundaries before fitting a model.

  2. Choose a Loss Before a More Complex Model — Free preview

    Compare constant baselines to understand regression losses.

  3. Turn Scores into Review Decisions — Sign-in access

    Use confusion counts and a stated cost model to select a threshold without confusing scores with calibrated probabilities.

  4. Combine Votes and Discover Groups — Sign-in access

    Contrast supervised voting with unsupervised clustering using small examples whose limitations remain visible.

  5. Inspect a Neuron's Learning Step — Free preview

    Check one small gradient numerically before relying on an automatic differentiation framework.

  6. Represent Text with Inspectable Vectors — Sign-in access

    Build a small lexical similarity baseline and identify where word overlap stops representing meaning.

  7. Version and Test the Inference Contract — Sign-in access

    Package model metadata, feature expectations and rejection behavior before exposing predictions to another component.

  8. Deliver the Repair Forecast Decision Pack — Sign-in access

    Integrate the experiments into a reproducible equipment-planning project with clear human-review boundaries.