You’ve collected, cleaned and prepared your data, chose the right machine learning algorithm, and trained a model. Now you’re ready to test your model with real users and will need to decide the best way to deploy it into production. In this episode, Gonzalo covers the basic patterns to deploy your machine learning model into production for real-time predictions.
Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIsWN
Additional Resources:
https://docs.aws.amazon.com/wellarchitected/latest/machine-learning-lens/model-deployment-approaches.html
https://aws.amazon.com/blogs/machine-learning/a-b-testing-ml-models-in-production-using-amazon-sagemaker/
#AWS #AmazonWebServices #CloudComputing #BackToBasics #MachineLearning
Duration: 00:03:40
Publisher: Amazon Web Services
You can watch this video also at the source.
