Subject archive for "engineering," page 5
Humans in the Loop
Humans and Machines: SciFi or Already Commonplace?
By Paco Nathan9 min read
New G3 Instances in AWS - Worth it for Machine Learning?
We benchmarked AWS’s new G3 instances for deep learning tasks and found they significantly outperform the older P2 instances. The new G3 instances are now available for use in Domino.
By John Joo4 min read
Data Science != Software Engineering
Why understanding key differences between data science and engineering matters
By Domino3 min read
Model Deployment Powered by Kubernetes
In this article we explain how we’re using Kubernetes to enable data scientists to deploy predictive models as production-grade APIs.
By Alexandre Bergeron7 min read
Data Scientists are Analysts are Software Engineers
In this Data Science Popup session, W. Whipple Neely, Director of Data Science at Electronic Arts, explains why data scientists have responsibilities beyond just data science.
By Grigoriy29 min read
Data Science on AWS: Benefits and Common Pitfalls
More than two years ago, we wrote about the misguided fear of the cloud among many enterprise companies. How quickly things change! Today, every enterprise we work with is either using the cloud or in the process of moving there. We work with companies that insisted, just two years ago, that they “can’t use the cloud” — and are now undertaking strategic initiatives to have “real work in AWS by the end of 2017.” We see this happening across industries including finance, insurance, pharmaceuticals, retail, and even government.
By Nick Elprin4 min read
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