Propel four common machine learning use cases into production
How organizations are accelerating the training and deployment of machine learning models at scale
Technology teams worldwide have found new ways to leverage machine learning to enable recommendation engines, object detection, voice assistants, fraud detection, and other key use cases. However, the training and deployment of ML models can be expensive and time-consuming.
This eBook from AWS shares practical insights and real-world examples of how you can select and configure the right infrastructure to accelerate the training and deployment of machine learning models for computer vision, fraud detection, natural language processing, and recommendations.
Download now to put your ML use cases into production.
Provided by AWS
Cloud Pro Newsletter
Stay up to date with the latest news and analysis from the world of cloud computing with our twice-weekly newsletter
ITPro is a global business technology website providing the latest news, analysis, and business insight for IT decision-makers. Whether it's cyber security, cloud computing, IT infrastructure, or business strategy, we aim to equip leaders with the data they need to make informed IT investments.
For regular updates delivered to your inbox and social feeds, be sure to sign up to our daily newsletter and follow on us LinkedIn and Twitter.