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| Description | MLflow is a futuristic machine learning platform that helps developers manage the entire machine learning lifecycle in an efficient manner. In addition, it also helps users to proceed with experimentation, deployment, and reproducibility of codes. Currently, MLflow offers four components to individual users. The first component is Tracking, which helps developers with logging parameters, metrics, code versions, and output files while running the machine learning code and result analytics part. The second component is Projects that include a command-line and other API tools facilitating seamless management of projects in progress. This also makes it possible for developers to bring all projects with a single workflow. The third component being Models, which can be used for packaging machine learning models, besides proceeding with deployment in diverse serving environments. Finally, Registry- a centralized model serves as a store for APIs and UI, besides helping out users to proceed with the full life cycle of an MLflow Model. Real-time integration facilities with Kubernetes, Google Cloud, and TensorFlow, enables seamless business management. Read more | Google Cloud AutoML is a custom platform that helps developers with limited machine learning experience gain access to various tools to create high-quality machine learning models specific to their ever-changing business needs. When you sign up above, new customers get $350 in credits to try AutoML and other products on Google Cloud. It works as a unified portal where users can deploy and scale more AI models on the go. It also allows creators to prepare a database of their own and use it to store information. Developers can use the platform to create machine learning models that detect objects in images and tell customers what they are and how many. Other essential functionalities available within the software are a seamless ML model deployment facility at the edge, streaming video analysis, REST API integration, immense dataset support, custom sentiment analysis, shot change detection, compatibility with 50+ languages, and custom model translation functionality. Read more |
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MLflow Custom |
Cloud AutoML Custom |
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| Company Details | Located in: San Francisco, California |
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