Exploring the Limits of Parallelized Machine Learning

by 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.