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LEARNPATH

Built by RRRTX Labs

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AI Engineer / Evaluation & metrics

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AI Engineer

01Python syntax & types
02Lists, dicts, sets
03Linear algebra intuition
04Probability & statistics
05SQL fundamentals
06Data wrangling
07Machine learning fundamentals
08Neural networks
09PyTorch basics
10Evaluation & metrics
11MLOps basics
12Containers & orchestration
13AI ethics & responsibility

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Stage 04 · 04 · Production · skill 1 of 3

Evaluation & metrics

Accuracy lies. Choose metrics that match the decision.

Recommended first: Machine learning fundamentals

After this you will be able to

Explain precision vs recall
Use a confusion matrix
Hold out data that the model never trained on

Open scikit-learn user guide

scikit-learn · why we picked it

Previous Next: MLOps basics

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No playground attached to this skill. The practice lab has every runtime.

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