Podcast: From Academia to Industry with Johnny Greco
March 3, 2022 - Alex Strick van Linschoten - 1 min read
This week I spoke with Johnny Greco, a data scientist working at Radiology Partners. Johnny transitioned into his current work from a career as an academic — working in astronomy — where also worked in the open-source space to build a really interesting synthetic image data project.
How to painlessly deploy your ML models with ZenML
March 2, 2022 - Stefan Nica - 11 mins read
Connecting model training pipelines to deploying models in production is regarded as a difficult milestone on the way to achieving Machine Learning operations maturity for an organization. ZenML rises to the challenge and introduces a novel approach to continuous model deployment that renders a smooth transition from experimentation to production.
What's New in v0.6.2: ♻️ Continuous Deployment and a fresh CLI 👩💻
February 23, 2022 - Alex Strick van Linschoten - 4 mins read
Release notes for the new version of ZenML. We've added the ability to serve models using MLflow deployments, and we've refreshed how our CLI looks using the popular 'rich' library. You'll also find a lot of smaller improvements, documentation additions and bug fixes in this release.
Podcast: The Modern Data Stack with Tristan Zajonc
February 10, 2022 - Alex Strick van Linschoten - 1 min read
Tristan and Alex discuss where machine learning and AI are headed in terms of the tooling landscape. Tristan outlined a vision of a higher abstraction level, something he's working on making a reality as CEO at Continual.
How to improve your experimentation workflows with MLflow Tracking and ZenML
February 9, 2022 - Alex Strick van Linschoten - 6 mins read
Use MLflow Tracking to automatically ensure that you're capturing data, metadata and hyperparameters that contribute to how you are training your models. Use the UI interface to compare experiments, and let ZenML handle the boring setup details.
What's New in v0.6.1: Reach for the AWS and Azure Cloud! ☁️
February 7, 2022 - Alex Strick van Linschoten - 2 mins read
Release notes for the new version of ZenML. We now support AWS S3 and Azure Blob Storage as artifact stores. You'll also find a lot of smaller improvements and bug fixes in this release.
How to build a three-pointer prediction pipeline
February 2, 2022 - Alexej Penner - 10 mins read
We challenged ourselves to put our own tool to the test and set up a few pipelines to answer two questions: Did Steph Curry change the game of basketball? And how many three-pointers will be in the next NBA game?