Curriculum/ai ml add 5 frontmatter fields

[DRK28122006]

Summary

Describe the problem, the change, and the user/system impact.

Scope

• In scope:
• Out of scope:

Invariants

List the business and engineering rules that must remain true.

• Canonical identity is defined where records/events are involved.
• Re-running the operation does not duplicate effects.
• Partial failure cannot silently corrupt state.
• Public outputs do not expose private or internal data.

Design

Explain the source of truth, read/write boundaries, error behavior, and why this is the simplest safe approach.

Duplicate and idempotency review

• Stable idempotency/dedupe key:
• Persisted-data duplicate check:
• Same-batch duplicate check:
• Retry behavior:
• Conflict behavior:

Privacy and security review

• Data classification:
• Public fields explicitly allowlisted:
• Private links/identifiers suppressed:
• Secrets and permissions reviewed:

Data, migration, and rollback

• Schema/data changes:
• Backup completed or not applicable:
• Dry-run/preview result:
• Expected affected-record count:
• Rollback procedure:

Verification

• Syntax/build/compile
• Formatting/lint
• Type checks
• Unit tests
• Integration tests
• Repeat-run/idempotency test
• Malformed-input test
• Partial-failure test
• Privacy-output test
• Before/after reconciliation

Commands and actual results:

Operations

• Configuration changes:
• Deployment/restart steps:
• Health checks:
• Monitoring/alerts:
• Post-deploy verification:

Agent declaration

• I read the applicable AGENTS.md instructions.
• I did not perform unapproved destructive production actions.
• I have clearly stated any checks I could not run.
• The patch does not include unrelated refactoring.

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Review details

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro Plus

Run ID: 350ca114-506f-46dd-8d3b-a941057960bf

📥 Commits

Reviewing files that changed from the base of the PR and between f2fb926 and 3d2ec01.

📒 Files selected for processing (20)

• curriculum/03-AI-ML/01-beginner/01-foundations/01-math-for-ml.md
• curriculum/03-AI-ML/01-beginner/01-foundations/02-data-pipelines-basics.md
• curriculum/03-AI-ML/01-beginner/01-foundations/03-model-lifecycle.md
• curriculum/03-AI-ML/01-beginner/02-tools/01-python-ecosystem.md
• curriculum/03-AI-ML/01-beginner/02-tools/02-notebooks-and-visualization.md
• curriculum/03-AI-ML/01-beginner/02-tools/03-ml-libraries.md
• curriculum/03-AI-ML/02-intermediate/01-supervised-learning/01-regression-classification.md
• curriculum/03-AI-ML/02-intermediate/01-supervised-learning/02-feature-engineering.md
• curriculum/03-AI-ML/02-intermediate/01-supervised-learning/03-hyperparameter-tuning.md
• curriculum/03-AI-ML/02-intermediate/02-mlops/01-ci-cd-for-models.md
• curriculum/03-AI-ML/02-intermediate/02-mlops/02-monitoring-and-drift.md
• curriculum/03-AI-ML/02-intermediate/02-mlops/03-deployment-patterns.md
• curriculum/03-AI-ML/03-advanced/01-modern-architectures/01-transformers.md
• curriculum/03-AI-ML/03-advanced/01-modern-architectures/02-graph-neural-networks.md
• curriculum/03-AI-ML/03-advanced/01-modern-architectures/03-reinforcement-learning.md
• curriculum/03-AI-ML/03-advanced/01-modern-architectures/04-cnn.md
• curriculum/03-AI-ML/03-advanced/02-research-in-practice/01-paper-replication.md
• curriculum/03-AI-ML/03-advanced/02-research-in-practice/02-large-model-alignment.md
• curriculum/03-AI-ML/03-advanced/02-research-in-practice/03-ethics-and-responsibility.md
• website/docusaurus.config.ts

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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