Common Machine Learning Deployment Patterns & Their Applications

Author(s): Youssef Hosni

Originally published on Towards AI.

What are the most Common Machine Learning Deployment and their Common Applications?

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Machine learning models have become increasingly popular in recent years for solving a wide range of problems across different domains, such as image recognition, natural language processing, and fraud detection, among others.

However, deploying these models into production can be a challenging task, as it requires integrating the model into an existing software infrastructure and ensuring its scalability, reliability, and maintainability. To address these challenges, different deployment patterns have emerged that provide a set of best practices and guidelines for deploying machine learning models in a production environment.

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Published via Towards AI