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, managing environments, and model delivery. One of the best parts about being at an event like Strata is the chance to spend time with data scientists and data science […]

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Announcing Enhanced Apache Spark Support

Domino now offers data scientists a simple, yet incredibly powerful way to conduct quantitative work using Apache Spark. Apache Spark has captured the hearts and minds of data professionals. A technology originally developed at Berkeley’s AMP lab, Spark provides a series of tools which span the vast challenges of the entire data ecosystem. Spark offers […]

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Python 3.6 with Domino in Minutes

For Pythonistas like me, the holidays started a little early with today’s release of Python 3.6. In case you haven’t heard, Python 3.6 has a number of improvements: Speed and memory usage optimizations including low-level improvements at the CPython layer. New syntax features including a new kind of string literal called “f-strings”, standard annotations for […]

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Better Knowledge Management for Data Science Teams

We’re excited to announce a set of big new features that make it easier for you to find and reuse past data science work in your team and organization. We’re calling these features “Discoverability,” and they encompass powerful ways to search, tag, and get recommendations about relevant analytical work. In this post, we describe how […]

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Gain Shell Access To Your Domino Instances

Domino offers a managed, scalable compute environment that provides push-button convenience to data scientists, whether they’re interested in exploring data in a Python notebook, or training a model using an R script. While Domino offers many opportunities for teams to customize and share environments, some problems are best solved with shell access. With Domino’s latest […]

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High-performance Computing with Amazon’s X1 Instance – Part II

When you have at your disposal 128 cores and 2TB of RAM, it’s hard not to experiment and attempt to find ways to leverage the amount of power that is at your fingertips. We’re excited to remind our readers that we support Amazon’s X1 instances in Domino, you can do data science on machines with […]

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High-performance Computing with Amazon’s X1 Instance

We’re excited to announce support for Amazon’s X1 instances. Now in Domino, you can do data science on machines with 128 cores and 2TB of RAM — with one click: The X1 hardware tier is available in our cloud-hosted environment and can be made available to customers using Domino in their own VPCs. Needless to […]

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Reproducible Research in Computational Sciences

This guest post was written by Arnu Pretorius, a Masters student in Mathematical Statistics at the MIH Media Lab, Stellenbosch University. Arnu’s research interests include machine learning and statistical learning theory. In science replication is important. The reason is that if the findings of a study can be replicated the stake holders involved in the […]

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