II.
LibraryProcess overview
Reference · livelib-process:data-science-ml--ml-architecture-design
ml-architecture-design overview
ML Architecture Design and Model Selection - Design system architecture for ML pipelines, select candidate model architectures, define evaluation criteria, and establish baseline performance benchmarks with iterative refinement.
Attributes
displayName
ml-architecture-design
description
ML Architecture Design and Model Selection - Design system architecture for ML pipelines,
select candidate model architectures, define evaluation criteria, and establish baseline performance benchmarks
with iterative refinement.
libraryPath
library/specializations/data-science-ml/ml-architecture-design.js
specialization
data-science-ml
references
- - Designing Machine Learning Systems by Chip Huyen: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/ - Production ML Systems - Google: https://developers.google.com/machine-learning/crash-course/production-ml-systems - ML Test Score Rubric: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/aad9f93b86b7addfea4c419b9100c6cdd26cacea.pdf - Rules of Machine Learning - Google: https://developers.google.com/machine-learning/guides/rules-of-ml
example
const result = await orchestrate('specializations/data-science-ml/ml-architecture-design', {
projectName: 'Customer Churn Prediction',
problemFormulation: { mlProblemType: 'classification', learningParadigm: 'supervised' },
dataCharacteristics: { volumeGB: 50, recordCount: 1000000, featureCount: 45 },
constraints: { latencyMs: 100, budget: '$50K', timeline: '3 months' }
});
usesAgents
- general-purpose
Outgoing edges
lib_applies_to_domain1
- domain:data-science·DomainData Science
lib_belongs_to_specialization1
- specialization:data-science-ml·Specialization
lib_implements_workflow1
- workflow:architecture-decision-record·WorkflowArchitecture Decision Record
lib_involves_role1
- role:data-scientist·RoleData Scientist
Incoming edges
None.