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Pipeline Conversations: Our New Podcast

November 19, 2021 - Adam Probst - 1 min read

We launched a podcast to have conversations with people working to productionize their machine learning models and to learn from their experience.

Introducing the revamped ZenML 0.5.x

November 16, 2021 - Michael Schuster - 5 mins read

We rewrote much of our code base to make it more robust and also to enable new features.

10 Ways To Level Up Your Testing with Python

November 4, 2021 - Alex Strick van Linschoten - 9 mins read

A mix of mental and technical skills you can develop to get better at testing your Python code.

Taking on the ML pipeline challenge

October 27, 2021 - Hamza Tahir - 7 mins read

Why data scientists need to own their ML workflows in production.

Why ML should be written as pipelines from the get-go

March 31, 2021 - Hamza Tahir - 7 mins read

Eliminate technical debt with iterative, reproducible pipelines.

Spot the difference in ML costs

January 28th, 2021 - Hamza Tahir - 5 mins read

Spot instances are a great option for anyone training machine learning models; they're much cheaper than other on-demand options, albeit with some drawbacks.

Is your Machine Learning Reproducible?

January 19th, 2021 - Hamza Tahir - 5 mins read

Short answer: not really, but it can become better!

A most unusual year

December 26th, 2020 - ZenML Team - 5 mins read

A retrospective of some of the decisions that caused us to pivot from a focused machine learning consultancy to deciding to build an open-source MLOps tool.

ZenML will be open source

November 11th, 2020 - ZenML Team - 4 mins read

An overview of some of the capabilities that ZenML will unlock for our users.

MLOps: Learning from history

November 9th, 2020 - ZenML Team - 6 mins read

MLOps isn't just about new technologies and coding practices. Getting better at productionizing your models also likely requires some institutional and/or organisational shifts.