Since May 18, 2021, Google integrates all its ML cloud services into a single interface and API as part of the public accessible Vertex AI, a managed MLOps-platform for deploying and serving AI models. Vertex AI integrates AutoML and the AI platform into a single API, client library, and user interface. Users can independently manage data and prototypes, deploy and interpret their ML-models using Vertex tools: Vizier, Feature Store, Experiments, Continuous Monitoring and Pipelines.
Vertex AI integrates with many open-source frameworks (TensorFlow, PyTorch, and scikit-learn) and also supports all ML-frameworks with custom training and prediction containers. Also you can connect BigQuery, use standard SQL-queries in existing business intelligence and spreadsheet tools, and export datasets from BigQuery to Vertex AI. Vertex Data Labeling allows your mark your data accurately. Learn more and try the new DS-platform from the corporation of good here: https://cloud.google.com/vertex-ai
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