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    Machine Learning Modeling: How It Works and Why It’s Important

    Models are the central output of data science, and they have tremendous power to transform companies, industries, and society.  At the center of every machine learning or...

    Answering Questions About Model Delivery on AWS at Strata

    This post is a recap of the common questions Domino answered in the booth at Strata New York. We answered questions about access to EC2 machines,...

    What Your CIO Needs to Know about Data Science

    What would you rather be doing? Data science or DevOps? As a data scientist, your CIO may hear from you that model deployment is a challenge (e.g.,...

    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...

    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. Background ...

    Deep Learning on GPUs without the Environment Setup in Domino

    We have seen an explosion of interest among data scientists who want to use GPUs for training deep learning models. While the libraries to support...

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