Pipeline Conversations: Our New Podcast

November 19, 2021 - Adam Probst

This first episode of Pipeline Conversations is the kick-off for a series of talks in the broader Machine Learning Start-Up Space. Our goal is not to promote any product or company but to discuss and also educate the community on different topics. We will invite thought leaders in the MLOps space, talk about how to build an open-source startup in public, and also the biggest challenges in Machine Learning. There won’t be a strict script and our guests will mainly determine the content.

10 Ways To Level Up Your Testing with Python

November 4, 2021 - Alex Strick van Linschoten

There’s nothing like working on testing to get you familiar with a codebase. I’ve been working on adding back in some testing to the ZenML codebase this past couple of weeks and as a relatively new employee here, it has been a really useful way to dive into how things work under the hood.

Is your Machine Learning Reproducible?

January 19th, 2021 - Hamza Tahir

It is now widely agreed that reproducibility is an important aspect of any scientific endeavor. With Machine Learning being a scientific discipline, as well as an engineering one, reproducibility is equally important here.

Deep Learning on 33,000,000 data points using a few lines of YAML

May 4th, 2020 - Hamza Tahir

Over the last few years at zenml, we have regularly dealt with datasets that contain millions of data points. Today, I want to write about how the we use our machine learning platform, ZenML, to build production-ready distributed training pipelines. These pipelines are capable of dealing with millions of datapoints in a matter of hours. If you also want to build large-scale deep learning pipelines, sign up for ZenML for free here and follow along.