Back to Basics: Deploy Your Machine Learning Model for Real-Time Predictions #aws #cloudcomputing

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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.

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/

Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIsWN

#AWS #AmazonWebServices #CloudComputing #shorts #AIML #MachineLearning #machinelearningmodels #backtobasics
Category
Amazon Web Services
Tags
AWS, Amazon Web Services, Cloud
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