Azure Machine LearningMicrosoft
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Related Products
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About
Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. 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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About
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data scientists, AI, and machine learning developers
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Audience
Engineers and data scientists requiring a solution to manage and improve their machine learning research
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/machine-learning/
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Company Informationscikit-learn
United States
scikit-learn.org/stable/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Machine Learning Features
Deep Learning
Not Supported
ML Algorithm Library
Not Supported
Model Training
Not Supported
Natural Language Processing (NLP)
Not Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Not Supported
Templates
Not Supported
Visualization
Not Supported
Data Labeling Features
Human-in-the-loop
Supported
Labeling Automation
Supported
Labeling Quality
Supported
Performance Tracking
Supported
Polygon, Rectangle, Line, Point
Supported
SDK
Supported
Supports Audio Files
Supported
Task Management
Supported
Team Collaboration
Supported
Training Data Management
Supported
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Integrations
ModelOp
Supported
Azure Container Registry
Supported
Azure Data Science Virtual Machines
Supported
Azure Database for MariaDB
Supported
Cranium
Supported
Databricks
Not Supported
GLM-5.1
Not Supported
GLM-5.2
Not Supported
Kedro
Supported
Keepsake
Not Supported
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Integrations
ModelOp
Supported
Azure Container Registry
Not Supported
Azure Data Science Virtual Machines
Not Supported
Azure Database for MariaDB
Not Supported
Cranium
Not Supported
Databricks
Supported
GLM-5.1
Supported
GLM-5.2
Supported
Kedro
Not Supported
Keepsake
Supported
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