ML Examples #
Real-world examples demonstrate how ML lifecycle concepts apply in practice. These case studies show common challenges and solutions.
Featured Examples #
- Speech Recognition: End-to-end deployment with VAD, cloud inference, and monitoring
- Visual Inspection: Factory line defect detection with gradual automation
- User Profiling: Building recommendation systems with ML pipelines
stateDiagram-v2
[*] --> SpeechRecognition
SpeechRecognition --> VisualInspection
VisualInspection --> UserProfiling
UserProfiling --> [*]
SpeechRecognition : VAD + ASR Pipeline
VisualInspection : Shadow → Canary → Full
UserProfiling : Clickstream → Profiles → Recs