Skip to content

    Exploring the Limits of Parallelized Machine Learning

    on November 11, 2016

    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.

    Other posts you might be interested in

    Subscribe to the Data Science Blog

    Receive data science tips and tutorials from leading Data Scientists right to your inbox.