Dev Ops for Machine Learning Damian Brady

Machine learning is easier to use than ever before, but how do we coordinate the teams involved Software engineering has been maturing for decades, but introducing an unfamiliar parallel workstream like data science brings new challenges. Thankfully, we can draw upon the crossteam collaborative efforts of DevOps to bring data science and software engineering into sync. Building effective predictive models involves data acquisition and preparation, then resourceintensive experimentation and training. Dat