How To Build Ethical Guidelines and Unit Tests in ML CI/CD Pipelines
Introducing accountability and fairness in software development: Tools, Techniques and Ideas in build Ethical ML Pipelines. Hands-on building of pipelines for guidelines generation, controlled data access and preprocessing, unit and integration tests, and blockchain metadata documentation. You would learn to containerize pipelines, transform guidelines to code (tests) and freeze states in a blockchain manner.
Principal data scientist at NTT Data specialising in automating data mining & analysis with Python