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    Production Data Science: Delivering Models with R Markdown

    R Markdown is one of those indispensable tools in a data scientist’s toolbox that provides speed and flexibility with the last-mile problem of getting your work into...

    Accelerating model velocity through Snowflake Java UDF integration

    Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data...

    How to supercharge data exploration with Pandas Profiling

    Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles, whether consisting of summary...

    Providing fine-grained, trusted access to enterprise datasets with Okera and Domino

    Domino and Okera - Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments. In...

    Announcement: Domino is fully Kubernetes native

    Last week we announced that Domino is now fully Kubernetes native. This is great news for data science teams and IT organizations building modern DS...

    Natural Language in Python using spaCy: An Introduction

    This article provides a brief introduction to natural language using spaCy and related libraries in Python. The complementary Domino project is also...

    Announcing Domino 3.4: Furthering Collaboration with Activity Feed

    Our last release, Domino 3.3 saw the addition of two major capabilities: Datasets and Experiment Manager. “Datasets”, a high-performance, revisioned...

    Announcing Domino 3.3: Datasets and Experiment Manager

    Our mission at Domino is to enable organizations to put models at the heart of their business. Models are so different from software — e.g., they...

    Domino Honored to Be Named Visionary in Gartner Magic Quadrant

    The team at Domino is proud to be named a Visionary for the second year in a row in Gartner’s Magic Quadrant for Data Science and Machine Learning...

    Intel’s Python Distribution is Smoking Fast, and Now it’s in Domino

    Domino just finished benchmarking Intel’s Python Distribution, and it is fast, very fast. Intel’s Python distribution is available for use in Domino.

    Domino now supports JupyterLab — and so much more

    You can now run JupyterLab in Domino, using a new Domino feature that lets data scientists specify any web-based tools they want to run on top of the...

    Data Science in the Enterprise: Insights from eBay, Stitch Fix, Teleon Health, and RISELab

    We recently hosted a panel discussion with several data science leaders about organizational design and tooling for enterprise data science. Watch...

    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 ...