How to get from ML concept to production
Most businesses realize that they should be putting machine learning initiatives into action, but the barriers can seem daunting.
In this Q&A, the leader of the AWS Machine Learning Solution Lab dispels common myths and gives key strategies for navigating requirements. He explains how developers can add ML services without needing pre-existing expertise and why so many are tapping into this valuable resource.
Explore areas like:
- Identifying desired outcomes and the best ways to leverage ML
- Moving from proof-of-concept to plan-of-action
- Utilizing AWS resources and tools to overcome the learning curve
- Getting your data in shape to deliver maximum benefits
