Achieve Easy Experimentation, Reproducibility, and Deployment with MLflow 2.0
Mlflow 2.0 – a more advanced version of MLflow – is being rolled out by Databricks to standardize, accelerate, and productionalize the Machine Learning model development process. This best-of-the-breed platform will provide production-grade ML pipelines and ready-made templates to enable practitioners to
- Achieve faster iterative development
- Speed up the production and deployment of ML models at scale
- Do without writing the boilerplate code
- Ensure reproducibility of pipelines
- Build models that serve in different environments
- Maintain a central storage space for all their model versions
- Draw quick comparisons of results at the workflow level
Royal Cyber is making it possible for you to get familiar with MLFlow by giving a free demo on the platform. Our data experts successfully build efficient and high-performing Machine Learning models using MLflow 2.0.
Discussion Topics:
