DevOps for Machine Learning, why is it different?

DevOps instincts tend to be shaped by what has worked well before. Instincts derived from mainstream software development projects get challenged when we turn to enabling machine learning projects. The key reasons are that the development/delivery workflow is different and the kind of software artefacts involved are different. We will explore the differences and look at emerging open source projects in order to appreciate why the DevOps for machine learning space is growing and the needs that it addresses.

Location: Date: October 14, 2020 Time: 1:15 pm - 2:15 pm Ryan Dawson, Seldon Ryan Dawson, Seldon