AWS Well- Architected Machine Learning- Best Practices to Achieve Business Goals A White Paper


Authors : Ayesha Umaima

Volume/Issue : Volume 7 - 2022, Issue 12 - December

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3X0SqpI

DOI : https://doi.org/10.5281/zenodo.7505018

Abstract : Machine learning (ML) uses Algorithms to find patterns in data, learn from those patterns, and build mathematical models to make predictions about future data. Through improved disease detection, environmental protection, the transformation of products and services, and other factors, these Machine Learning solutions have the potential to transform lives. This whitepaper gives you a list of tried-and-true best practises that are independent of technology and the cloud. When creating your ML workloads, you can use these guidelines and architectural principles, or you can employ them to make ongoing improvements after your workloads have gone into production.

Machine learning (ML) uses Algorithms to find patterns in data, learn from those patterns, and build mathematical models to make predictions about future data. Through improved disease detection, environmental protection, the transformation of products and services, and other factors, these Machine Learning solutions have the potential to transform lives. This whitepaper gives you a list of tried-and-true best practises that are independent of technology and the cloud. When creating your ML workloads, you can use these guidelines and architectural principles, or you can employ them to make ongoing improvements after your workloads have gone into production.

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