ML DevOps Insights
Jordan shares insights on ML DevOps, emphasizing the importance of governance in managing the handshakes between different personas involved in the software engineering lifecycle. He highlights the need to orchestrate the interactive and non-interactive phases to increase software deployment velocity and quality.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Jordan Edwards: ML Engineering and DevOps on AzureML
Related Questions