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Microsoft Azure Machine Learning offers cloud based advanced analytics designed to simplify machine learning for business. Business users can model their way, with best in class algorithms from Xbox, Bing, R or Python packages, or by dropping in custom R or Python code.
Category
Predictive Analytics
Features
• Digital Marketing • Mobile • E-Commerce • LOB Applications • SharePoint on Azure • Dynamics on Azure • SAP on Azure • Red Hat on Azure • DevOps • Development and Test • Monitoring • Business Intelligence • Big Data and Analytics • Data Warehouse • Business SaaS Apps • Cloud Migration • Hybrid Integration • Backup and Archive • Disaster Recovery • Internet of Things • Digital Media • High Performance Computing • Blockchain • Microservice Applications • Gaming • Mainframe Migration
License
Proprietary
Price
•App Service – Starting From FREE Every Month •Virtual Machines – Starting From $13 / month •SQL Database – Starting From $4.99 / month
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
What is best?
• Digital Marketing • Mobile • E-Commerce • LOB Applications • SharePoint on Azure • Dynamics on Azure • SAP on Azure
What are the benefits?
• Mobile enabled • Cloud based • Supports any operating system, language, tool and framework. • Computer resource and memory flexibility. • Dynamic- Both Infrastructure-as-a-service (IaaS) and Platform-as-a-service (PaaS).
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
9.3
6.7
Features & Functionality
9.4
8.5
Advanced Features
9.3
7.1
Integration
9.5
8.7
Performance
9.5
8.0
Customer Support
9.4
7.3
Implementation
7.6
Renew & Recommend
7.7
Bottom Line
Microsoft Azure Machine Learning offers cloud based advanced analytics designed to simplify machine learning for business. Business users can model their way, with best in class algorithms from Xbox, Bing, R or Python packages, or by dropping in custom R or Python code.
9.4
Editor Rating
7.7
Aggregated User Rating
52 ratings
You have rated this
Microsoft Azure Machine Learning offers cloud based advanced analytics designed to simplify machine learning for business.
Business users can model their way, with best in class algorithms from Xbox, Bing, R or Python packages, or by dropping in custom R or Python code. The finished model can then be deployed in minutes as a web service, which can connect to any data, anywhere.
It can also be published out to the community in the product Gallery or into the Machine Learning Marketplace. In Machine Learning Marketplace the application programming interfaces (APIs) and finished services are available.
By connecting data on Azure, advanced analytics developers and data scientists can seek insights not available through traditional business intelligence. Microsoft Azure Machine Learning Studio is a collaborative visual development environment that enables to build, test, and deploy predictive analytics solutions that operate on data.
Azure Machine Learning
The Machine Learning service and development environment is cloud-based, provides compute resource and memory flexibility, and eliminates setup and installation concerns as work is done through web browser.
Azure supports any operating system, language, tool, and framework— from Windows to Linux, SQL Server to Oracle, C# to Java. Azure is both an infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS).
Microsoft Azure Machine Learning is a cloud managed and fully scalable service that allows you to easily build, deploy and share predictive analytic solutions. It features a drag and drop interface where you are able to drag and drop analysis modules and data sets onto another feature known as the canvas. The canvas feature allows you to connect the two elements together, forming an experiment, which alllows you to iterate your model design by editing and saving before clicking on Run to make it effective visibly.
Company size
Enterprise (>1001)
User Role
End User
User Industry
Pharmaceutical
Rating
Ease of use8.1
Features & Functionality8.2
Advanced Features8.7
Integration8.2
Performance8.4
Training 8.1
Customer Support8.3
Implementation8.1
Renew & Recommend7.9
ADDITIONAL INFORMATION Microsoft Azure Machine Learning is a cloud managed and fully scalable service that allows you to easily build, deploy and share predictive analytic solutions. It features a drag and drop interface where you are able to drag and drop analysis modules and data sets onto another feature known as the canvas. The canvas feature allows you to connect the two elements together, forming an experiment, which alllows you to iterate your model design by editing and saving before clicking on Run to make it effective visibly. Throguh connnection of data on Microsoft Azure Machine Learning, data scientists and advanced analytics developers are able to seek insights not available through other means like traditional business intelligence. Being cloud-based, Microsoft Azure Machine Learning and development environment is conducted online and this provides memory flexibility and compute resource, eliminating set up and installation concerns. Microsoft Azure Machine Learning supports any operating sytem, tool, language, and frameworks, whether Windows, Linux, Oracle, SQL server, C# or Java.
A drag and drop interface
Microsoft Azure Machine Learning is a cloud managed and fully scalable service that allows you to easily build, deploy and share predictive analytic solutions. It features a drag and drop interface where you are able to drag and drop analysis modules and data sets onto another feature known as the canvas. The canvas feature allows you to connect the two elements together, forming an experiment, which alllows you to iterate your model design by editing and saving before clicking on Run to make it effective visibly.
Enterprise (>1001)
End User
Pharmaceutical
ADDITIONAL INFORMATION
Microsoft Azure Machine Learning is a cloud managed and fully scalable service that allows you to easily build, deploy and share predictive analytic solutions. It features a drag and drop interface where you are able to drag and drop analysis modules and data sets onto another feature known as the canvas. The canvas feature allows you to connect the two elements together, forming an experiment, which alllows you to iterate your model design by editing and saving before clicking on Run to make it effective visibly. Throguh connnection of data on Microsoft Azure Machine Learning, data scientists and advanced analytics developers are able to seek insights not available through other means like traditional business intelligence. Being cloud-based, Microsoft Azure Machine Learning and development environment is conducted online and this provides memory flexibility and compute resource, eliminating set up and installation concerns. Microsoft Azure Machine Learning supports any operating sytem, tool, language, and frameworks, whether Windows, Linux, Oracle, SQL server, C# or Java.