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    Exploring the Limits of Parallelized Machine Learning

    November 11, 2016   1 min read

    This week, Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, presented a webinar: Machine Learning at Scale with Amazon's X1 Instance. If you missed the live webinar or would like to watch it again, you can find a recording below:


    Listen in on this webinar to explore:

    • Parallelized machine learning at scale;
    • The limits of today's machine learning libraries;
    • Our findings using Amazon's 128-core, 2TB memory machine.

    If you missed Eduardo's blog posts you can read them here: Part I & Part II. To learn more about best practices for comparing machine learning models and executing benchmarks, you can download his paper - Benchmarking Predictive Models.

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