Performance for all skill levels
Performance for all skill levels with a code-first model, drag-and-drop constructor and automated machine learning.
Robust MLOps capabilities that integrate with existing DevOps processes and help manage the entire machine learning lifecycle.
Modern objectivity and interpretability
Modern objectivity and interpretability of the model for the responsible creation of AI solutions with an increased level of security and an improved cost management mechanism for an advanced management and control system.
Best-in-class support for open source platforms and various languages, including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R
Azure ML Studio.
Microsoft Azure Machine Learning Studio is a collaboration tool that supports drag and drop features designed to create, test, and deploy predictive data analysis solutions. Azure Machine Learning Studio (classic) publishes models as web services that can then be used in custom applications and business intelligence tools (such as Excel).