Exploring the Limits of Parallelized Machine Learning
By Sheila Doshi2016-11-111 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.
Subscribe to the Domino Newsletter
Receive data science tips and tutorials from leading Data Science leaders, right to your inbox.
By submitting this form you agree to receive communications from Domino related to products and services in accordance with Domino's privacy policy and may opt-out at anytime.