Audience
Data scientists, AI, and machine learning developers
About Azure Machine Learning
Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
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Pricing
Free Trial:
Free Trial available.
Integrations
Company Information
Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/machine-learning/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
Azure Machine Learning Frequently Asked Questions
Azure Machine Learning Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Machine Learning
Predictive Modeling
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Statistical / Mathematical Tools
Templates
Visualization