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    About Eduardo Ariño de la Rubia

    Improving Zillow's Zestimate with 36 Lines of Code

    Zillow and Kaggle recently started a $1 million competition to improve the Zestimate. We used H2O’s AutoML to generate a solution. The new Kaggle...
    Data Science Machine Learning Kaggle H2O.ai

    Horizontal Scaling for Parallel Experimentation

    The amount of time data scientists spend waiting for experiment results is the difference between making incremental improvements and making...
    Data Science AWS Data Science Teams Practical Techniques Cloud R Data Scientists Python IT data

    What Data Scientists Should Know About Hiring, Sharing, and Collaborating

    In this post we summarize some of our most recent and favorite answers on Quora to questions from the community about hiring junior data scientists,...
    Data Science Leaders At Work Data Scientists Best Practices data Managing Data Science

    Multicore Data Science with R and Python

    This article is an excerpt from the full video on [Multicore Data Science in R and Python]. Watch the full video to learn how to leverage multicore...
    Data Science Code Machine Learning R Python

    Git Integration in Domino

    We recently released new functionality that provides first-class integration between Domino and git. This post describes the new feature, and...
    Data Science Data Science Teams Domino Product Domino Practical Techniques Data Scientists Reproducibility Engine Reproducibility data

    The Cost of Doing Data Science on Laptops

    At the heart of the data science process are the resource intensive tasks of modeling and validation. During these tasks, data scientists will try...
    Data Science Leaders At Work Alignment AWS Model Management IT and Data Science Alignment Practical Techniques Data Science Leaders IT Leaders Managing Data Science

    Benchmarking Predictive Models

    It's been said that debugging is harder than programming. If we, as data scientists, are developing models ("programming") at the limits of our...
    Benchmark Data Science Model Management Machine Learning Predictive Models Models data model

    Principles of Collaboration in Data Science

    Data science is no longer a specialization of a single person or small group. It is now a key source of competitive advantage, and as a result, the...
    Data Science Leaders At Work Model Management Data Science Teams Practical Techniques Data Science Leaders Data Scientists Best Practices IT Leaders Models Reproducibility data model

    Achieving Reproducibility with Conda and Domino Environments

    Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does...
    Data Science Conda Compute Environments Domino Product Domino Practical Techniques Containers Python Reproducibility Data Science Platform

    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...
    Data Science Domino Product Domino Practical Techniques Machine

    A Quick Benchmark of Hashtable Implementations in R

    UPDATE: I am humbled and thankful to have had so much feedback on this post! It started out as a quick and dirty benchmark but I had some great...
    Benchmark Data Science Code R

    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...
    Data Science Machine Learning X1 High-Performance Computing random forest Domino Product R Data Science Leaders IT Deep Learning H2O.ai scikit-learn

    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...
    Data Science Machine Learning X1 High-Performance Computing Domino Product xgboost Data Scientists IT H2O.ai data

    Providing Digital Provenance: from Modeling through Production

    At last week's useR! R User conference, I spoke on digital provenance, the importance of reproducible research, and how Domino has solved many of the...
    Data Science Code Model Management Domino Practical Techniques Model Production R Best Practices Reproducibility data model

    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...
    Data Science Leaders At Work Domino Product Practical Techniques R Data Scientists Python IT data Spark

    Ugly Little Bits of the Data Science Process

    This morning there was a great conversation on Twitter, kicked off by Hadley Wickham, about one of the ugly little bits of the data science process.
    Data Science Code Domino Practical Techniques R Knowledge Management Best Practices Reproducibility Engine