Developers Guide to AI #5 — Machine learning operations — applying DevOps to data science

Wouter Baetens
arinti
Published in
1 min readJul 6, 2020

--

As part of the Microsoft Azure Training Day, we’ve hosted a few sessions on Azure AI. We’ll be sharing these in a series of blogs.

#1: Making sense of your unstructured data with AI
#2: Using Pre-Built AI to solve business challenges
#3: Start building machine learning models faster than you think
#4: Taking models to the next level with Azure Machine Learning best practices
#5: Machine learning operations — applying DevOps to data science
#6: Better models made easy with Automated Machine Learning

In the fifth episode of this series you’ll learn more about the process of putting machine learning models into a pipeline.

Enjoy the session and feel free to contact us for additional information!

This post was originally published here: https://arinti.ai/developers-guide-to-ai-5-machine-learning-operations-applying-devops-to-data-science/

--

--

Managing Partner @Arinti_be (@CronosGroep). Passionate about Digital Innovation. Triatlon. Straight Edge. Musician. Wanderlust. Always on the run.