Machine Learning & AI Engineering Foundations
Version and Test the Inference Contract
Package model metadata, feature expectations and rejection behavior before exposing predictions to another component.
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- Freeze the Prediction Moment — Free preview
Choose the target, feature availability and time boundaries before fitting a model.
- Choose a Loss Before a More Complex Model — Free preview
Compare constant baselines to understand regression losses.
- 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.
- Combine Votes and Discover Groups — Sign-in access
Contrast supervised voting with unsupervised clustering using small examples whose limitations remain visible.
- Inspect a Neuron's Learning Step — Free preview
Check one small gradient numerically before relying on an automatic differentiation framework.
- Represent Text with Inspectable Vectors — Sign-in access
Build a small lexical similarity baseline and identify where word overlap stops representing meaning.
- Version and Test the Inference Contract — Sign-in access
Package model metadata, feature expectations and rejection behavior before exposing predictions to another component.
- Deliver the Repair Forecast Decision Pack — Sign-in access
Integrate the experiments into a reproducible equipment-planning project with clear human-review boundaries.