Wait! Exclusive 60 day trial to the world's largest digital library.
The SlideShare family just got bigger. You now have unlimited* access to books, audiobooks, magazines, and more from Scribd.Cancel anytime.
Machine learning development brings many new complexities beyond the traditional software development lifecycle. Unlike traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many distinct systems to productionize models. In this talk, learn how to operationalize ML across the full lifecycle with Databricks Machine Learning.