masatakashiwagi/mlops-practices

This repository is a collection of MLOps case studies.

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This collection helps you understand how various companies are implementing MLOps in their real-world operations. It compiles insights from company tech blogs and presentation materials, providing structured information on industry best practices. This resource is ideal for machine learning engineers, MLOps practitioners, and data science leaders who want to learn from practical case studies.

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Use this if you are looking for practical examples and real-world case studies to improve your understanding and implementation of MLOps practices.

Not ideal if you are seeking a software tool or library to directly implement MLOps solutions.

MLOps Machine Learning Engineering Data Science Leadership DevOps for ML Industry Best Practices
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Sep 03, 2023

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