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Mlops
A set of practices designed to deploy and maintain machine learning models in production environments efficiently and reliably. MLOps combines elements of machine learning, DevOps, and data engineering to streamline the process of taking models from development to production, ensuring scalability, reliability, and maintainability. It primarily benefits data scientists, DevOps engineers, and IT professionals involved in the lifecycle of machine learning models.
Mlops was discovered on November 30th 2020 and it currently has a search volume of 60.5K with a growth of +64%.
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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