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    About Nick Elprin

    Image diffing with CSS tricks

    We've been hard at work delivering exciting new features in Domino. Our latest release included a lot, including the ability to import/share data sets

    Predicting winners of the Rugby World Cup

    This a guest post by Arnu Pretorius For the sake of brevity, not all the relevant data and code are displayed in this post but can rather be...

    Better interactive data science with Beaker and Rodeo

    Domino has offered support for IPython/Jupyter for a while, but we recently added support for two newer, up-and-coming tools for interactive data...

    To Jupyter and beyond

    TLDR; Domino now supports Jupyter with R, Python, and Julia kernels as well as terminal access. It now renders ipynb files in the browser, letting...

    Faster model tuning and experimentation

    Domino provides a great way to iterate on analytical models by letting you run many experiments in parallel on powerful hardware and automatically...

    Reflections on "buy vs build"

    “Buy vs build”, “not-invented-here syndrome” and even “invented-here-syndrome” have been written about extensively. I want to share a few reflections...

    Building an open product for power users

    This post describes our engineering philosophy of building an “open” product, i.e., one that supports existing tools and libraries, rather than...

    10 interesting ways to use data science

    There's buzz everywhere these days about exciting applications of data science, especially related to machine learning. While the majority of the...

    Tales from direct sales email outreach

    Direct email outreach is one of our sales channels: we find data scientists working at interesting companies and email them. We've refined our...

    Topic modeling in 9/11 news articles

    This is a guest post by Dan Morris. The interactive dashboard and the code are also available. This post describes a project to visualize topics in...

    Interactive charts with Plotly and Domino

    We've used an IPython Notebook that uses Plotly's widgets to create beautiful interactive charts. Read on to see how you can use interactive charts...

    How to do factor analysis

    This is a guest post by Evan Warfel. Background P-values. T-tests. Categorical variables. All are contenders for the most misused statistical...

    Interactive dashboards with knitr and htmlwidgets

    Introduction htmlwidgets for R is a nifty R package that lets you easily generate interactive visualization. There are already widgets for...

    How to get started with the Data Science Bowl

    I am thrilled to share a Domino project we’ve created with starter code in R and Python for participating in the Data Science Bowl. Introduction The

    Visualizing home ownership with small multiples and R

    This is guest post by Antonio Sánchez Chinchón. The "small multiples" visualization technique was introduced by Edward Tufte, one of the current...

    Getting error bounds on classification metrics

    This is a guest post by Casson Stallings. Error bounds, or lack thereof Calculating error bounds on metrics derived from very large data sets has...