Examples

ML Examples #

Real-world examples demonstrate how ML lifecycle concepts apply in practice. These case studies show common challenges and solutions.

  • 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