Notebook to code

Packaging models for production

Packaging models with all the fundamental tools to build a scalable, testable and maintainable ML infrastructure.

Published on May 1, 2022

On the fly architecture

ML operations

MLOps was born at the intersection of DevOps, Data Engineering, and Machine Learning, and is similar to DevOps. Backward planning ...

Updated on April 27, 2022

On the fly architecture

Security scanning

None of the tools or databases will catch everything, and most are not sufficient for Conda or Docker containers because they only understand Python packages.

Published on April 18, 2022

Black Pycharm

Notebook code quality

We use notebooks for the development of quality code snippets intended to become useful in future development projects. So we want Quality.

Published on April 11, 2022

Moon phases

Full moons

All matter on Earth, both live and inert, experiences the effects of the gravitational forces of the Sun and Moon expressed in the form of tides.

Published on April 9, 2022

Hidden debt

ML pain points

Machine Learning systems are still experimental in nature and have more components that are significantly more complex to build and operate.

Published on March 12, 2022

Data science chaos

Chaotic order code base

Some steps need to be done before others, like initial explorations before sensible cleaning, and cleaning before feature engineering, but after that it gets chaotic.

Published on March 11, 2022