Machine learning Operations (MLOps) is a process focused on taking machine learning models into production. It is a collaborative function that consists of data scientists, DevOps engineers, etc. The ML model goes through the development, integration, testing, deployment, and monitoring steps as DevOps. This automates the deployment of machine learning and deep learning models in massive production systems, streamlining the management process. Aligning models with both business demands and regulatory standards is simpler.
1) Increases productivity
MLOps increases the productivity of data scientists and machine learning engineers.
Some ways in which it happens is by
There are many repetitive tasks in ML modeling. MLOps stand for automating the entire workflow of the ML model. This saves time and avoids human-induced errors. We can avoid wasting time on repetitive tasks and make value-added tasks.
This reduces compatibility problems and quickens the construction and deployment of modeling processes.
The increase in productivity is evident when implementing machine learning models and after implementing the models. The efficiency of model implementation has also improved over time as machine learning engineers become better at developing new models.
2) Less Expenditure
3) Reproducibility
4) Reliability
The machine learning model we get as a product of MLOPs is highly reliable with very few errors and high quality with high accuracy.
5) Connectivity
Building an integrated team ensures that these people with the skills necessary to make MLOps successful will work together to deliver the desired project outcomes.
It allows seamless collaboration so that various teams can join hands in developing high-quality models.
6) Monitorability
Through MLOps, we get insights about model performance by
Any company using ML technology would be wise to implement MLOps principles. As was mentioned above, MLOPs and other tools like ModelOps can help you increase the efficiency of your company. This ensures that the ML solutions you use provide the value you want.
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Prathvik is ML/AI Research content intern at MarktechPost, he is a 3rd year undergraduate at IIT Kharagpur. He has a keen interest in Machine learning and data science.He is enthusiastic in learning about the applications of in different fields of study .
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