Learn more about AWS Startups at – https://amzn.to/2JRNmmh
Implementing machine learning functionality into your company’s application is immensely powerful, but that’s only the first step. When it comes to optimizing costs, throughput, and agility of your ML Ops pipeline, there are countless changes still to be made! We’ll begin by covering what existing machine learning workflows look like in production, and progress through the different types of improvements that can be done to cut costs, quicken times between model updates, and have more robust deployments.
Publisher: Amazon Web Services
You can watch this video also at the source.