MLOps – Beyond Coding Podcast
Making a Proof of Concept is easy, pushing products to where they are actually being used is much harder. ML Ops, aka my day-to-day work, is to make this process more smooth and more efficient, applying both software engineering and data science best practices. – Julian de Ruiter, Machine Learning Engineer at GoDataDriven
In this episode of Beyond Coding Podcast (#29), host Patrick Akil discusses the true MLops mindset with machine learning engineers Julian de Ruiter and Roman Ivanov. This podcast was recorded in front of a live audience during the GoDataFest & Club Cloud 2021 conferences.
Topics include:
- A definition of what a machine learning model is
- The right way to bring a model into production
- Common challenges for machine learning engineers
Questions or challenges with ML Ops?
Contact Julian de Ruiter, Machine Learning Engineer at the GoDataDriven, if you want to know more. He’ll be happy to help you!