In this talk, I will present
- Typical Life cycle of ML Models
- Discuss about an use case ( Defects Detection in software source code) using ML/DL
- Patterns used in non-production deployment of ML/DL Models before deploying models in production
- Tools used to measure and monitor ML models performance/accuracy in production and non-production
- Patterns used to address ML Models deterioration
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