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.
- A definition of what a machine learning model is
- The right way to bring a model into production
- Common challenges for machine learning engineers