Data Science and Agile (Frameworks for Effectiveness)
Taking the best from agile and modifying it to fit the data science process (Part 2 of 2).| eugeneyan.com
Taking the best from agile and modifying it to fit the data science process (Part 2 of 2).| eugeneyan.com
Overview of MLOps, ML Pipeline, and ML Maturity Levels for continuous training, integration, and deployment.| Machine Learning for Developers
MLOps Lifecycle strings model and software development together in an unified machine learning life cycle for CI/CD/CT of ML products.| Machine Learning for Developers
