— Insight —
The next time you get asked to justify the ROI for your team, don't. Sit back, and let others tell the story for you.
— Tools and Techniques —
Great overview of an important project that helps bridge the gap between data science and engineering.
Metaflow is an open-source framework that's designed to help data science teams build and manage their own end-to-end workflows. This article explores how Metaflow works and introduces its new job scheduler integration with AWS Step Functions.
There's a lot of talk about version control for data but oftentimes, that's not what's needed. Here's how to think about data versioning and what most organizations should do instead.
At Stitch Fix, Multi-armed bandits have become a popular alternative to traditional A/B testing for online experimentation. This post explains some of the theory behind multi-armed bandits and explores how StitchFix has integrated them into their experimentation platform.
The Elyra Toolkit is a new open source project that extends the JupyterLab user interface to simplify the development of data science and AI models. This 1.0.0 release announcement is a great overview of the project and its uses.
Running machine learning systems in production is hard work. But it doesn't have to be. SageMaker is built to run ML models at scale. Taught by a leading ML expert, our SageMaker course will teach you how to build, deploy, and monitor machine learning models in production. Enroll today and use code DATA-ELIXIR for 10% off.
— Resources —
At this point in the pandemic, it's reasonable to think that conferences are done for awhile. But check out this list of active events via TyroLabs. They're showing more than 50 conferences around the world for what's left of 2020! Most have gone virtual and offer good discounts.
— Data Viz —
It's easy to build a dashboard that makes sense to the creator. But building something that's useful is a different story. This article is gold.
Apparently, this post started as a "failure blog" for documenting the stories that The Pudding never published. But along the way, it became a post about The Pudding's process to go from an idea to a data story. In the end, there are pivots and good-byes and none are "failures."