DevOps for Data Science | DevOps Lab скачать в хорошем качестве

DevOps for Data Science | DevOps Lab

Damian talks to Microsoft's Paige Bailey as well as MVP Terry McCann about DevOps for Data Science. These two really popular fields are not often combined, but there are some fantastic opportunities for cross-pollination of ideas. Damian, Paige and Terry discuss what's important to data scientists and where to start when it comes to a DevOps process. From using source control, testing and refreshing predictive models to operationalizing and evaluating success in production. Data scientists are rarely developers, and developers are rarely data scientists, but they can work together, using tools and techniques that still allow the experts to do what they do best! Follow Paige on Twitter:   / dynamicwebpaige   Follow Terry on Twitter:   / sqlshark   Follow Damian on Twitter:   / damovisa   Resources: The DataOps Manifesto: http://dataopsmanifesto.org/ Microsoft AI School: https://brdy.in/DOL-AISchool Visual Studio Team Services: https://brdy.in/DOL-VSTS Create a Free Azure Account: https://aka.ms/c9-azurefree