What are the best practices for machine learning in the cloud?
Some best practices include using scalable infrastructure, optimizing data storage, and ensuring security compliance.
Can you elaborate on optimizing data storage?
Sure! Use data lakes for unstructured data and ensure efficient data retrieval with indexing and partitioning.
What about model deployment?
For model deployment, consider using containerization and orchestration tools like Docker and Kubernetes for scalability.
How do I ensure security compliance?
Implement encryption, access controls, and regular audits to maintain security compliance in your ML projects.
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