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by chronic379019
2418 days ago
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You didn't really describe a stack. Which is fine, because academic research usually doesn't really reuse code ;) A proper ML stack is something like: - Data format in X schema - Model trained on Y library/platform - Evaluated and tested using Z - Serialized in A format - Stored on cloud B - Deployed using C - Versioned using D - Real-time monitoring using E |
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