Month: May 2018

Zero-overhead scalable machine learning-Part 2

By Peter Zhokhov, Senior Data Scientist A common obstacle in sharing results of machine learning research with industry data science is reproducibility of experiments. The research community often has their own dedicated machines and clusters; whereas industry often relies on cloud compute providers such as AWS EC2 or Google Compute Engine. As a result, even…

Read More...