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Machine-Learning Foundations and Baselines

Module Readiness: Learner-ready

The complete concept, practice, assessment, transfer, and source-routing path is available.

Selective Reading Rule​

The guide is the primary teacher. Full-book reading is not required; use the module reading guide and linked primary sources only to resolve a named question or deepen a decision.

Competency​

Frame prediction and decision problems; build deterministic and statistical baselines; control leakage; select losses and metrics; interpret uncertainty.

Required Evidence​

  • baseline implementation
  • split rationale
  • metric-selection note
  • error-analysis table

Completion Gate​

Explain the underlying mechanism, reproduce the result from a clean environment, evaluate at least one rejected alternative, and defend the important failure modes without relying on generated prose.

Source Policy​

Use official specifications, primary research, and curated local book routes selectively. The completed guide must remain the primary teacher.

Common-core reuse​

The Semester 08 bridge selects six concepts and supplies SL1–SL4 for all core learners. Reuse matching evidence here; completing that bridge does not waive this module’s remaining lessons, practice or transfer.