Our friends over at cnvrg.io have released a new eBook, “The Machine Learning Infrastructure Blueprint,” answering common questions most machine learning teams are asking about best practices for building a scalable machine learning infrastructure.
Machine learning has matured and now data science teams demand more from their machine learning infrastructure. In the past machine learning was mostly for research, today it is driving businesses. While the base of a machine learning platform remains the same (manage, monitor, track experiments and models) to achieve scalability, elasticity and operationalization of machine learning development there are various capabilities that need to be considered before building a modern machine learning infrastructure. Today’s machine learning infrastructures must be built for production, with as little technical debt as possible to accelerate machine learning development.
This guide will give a comprehensive understanding of what a modern machine learning infrastructure looks like, and how to build it for scale. Download the full eBook HERE.
Sign up for the free insideBIGDATA newsletter.
Join us on Twitter: https://twitter.com/InsideBigData1
Join us on LinkedIn: https://www.linkedin.com/company/insidebigdata/
Join us on Facebook: https://www.facebook.com/insideBIGDATANOW
