25 ++ ml lifecycle 191518-Ml project life cycle

Abhishek Ghosh 15 MLOps Lifecycle and Evaluation of Model Performance Either the majority of ML models do not manage to be integrated into a software product, or the model deployment takes too much time We have identified several reasons that explain this problem ML Model Deployment is a complex process

Ml project life cycle-Amazon SageMaker helps you streamline the machine learning (ML) lifecycle by automating and standardizing MLOps practices across your organization You can easily build, train, deploy, and manage ML models, whether it's only a few, hundreds of thousands, or even millions ML Lifecycle problems or challenges Phases in the lifecycle is the continuous loop to get the data from different data sources, preparing the data , training the model and deployment in the production and should be available to various kinds of end users