Resources

What are we talking about? DVC is a MLOps tool that works on top of Git repositories and has a similar command line interface and workflow to Git. It is designed to tackle the challenge of data sets traceability and reproducibility when training data-driven models.

A set of new challenges arose for building reliable and stable information systems that rely on imperfect data-driven models, such as model versioning, deployment, monitoring, explainability and reproducibility.

Nowadays, diversity is the holy grail of model accuracy: deep forest is a promising framework based on deep learning layers but without neurons and back propagation. The revolutionary deep forest frameworks enable the introduction of diversity as the tip of the iceberg.