Azure Machine Learning Studio is an interactive programming tool for predictive analytics. It is a professional tool that lets users easily drag-and-drop objects on the interfaces to create models that can be pushed to the web as services to be utilized by tools like business intelligence systems. Azure Machine Learning Studio is a platform where data science, predictive analytics, cloud-based tools, and data collide and mix to form an idea and deploy it into an effective model. With Azure Machine Learning Studio, developers also gain access to APIs that they can infuse into their model for enhanced cognitive algorithms and transformative artificial intelligence.
Azure Machine Learning Studio is an interactive programming tool for predictive analytics. It is a professional tool that lets users easily drag-and-drop objects on the interfaces to create models that can be pushed to the web as services to be utilized by tools like business intelligence systems. Azure Machine Learning Studio is a platform where data science, predictive analytics, cloud-based tools, and data collide and mix to form an idea and deploy it into an effective model. With Azure Machine Learning Studio, developers also gain access to APIs that they can infuse into their model for enhanced cognitive algorithms and transformative artificial intelligence.
Specifications
Business Size
Startup
Customization
Yes
Deployments
Cloud
Language Support
English
Platforms
Product Details
Features
Drag-and-Drop Function
Notebooks
Modules
Datasets
Trained Models
Experiments
Web Service Publishing
Experiment Conversion
APIs
Cortana Intelligence Suite
Cortana Intelligence Gallery
Benefits
Interactive Platform
Azure Machine Learning Studio is not a run-of-the-mill platform. It makes developing models more fun and much easier with its drag-and-drop function that works on datasets and analysis modules. These movements are used to form experiments that are run in the program. Editing, saving a copy, running, converting, and publishing experiments are also a straightforward process. Because of its visual connections, no heavy programming is required and models are completed at a faster pace.
Shared Solutions
Azure Machine Learning Studio brings together developers from different places in the Cortana Intelligence Gallery. It is a section of the platform where users can share and discover solutions that can be of use to others and to themselves. The community is also where users can query their fellow programmers and where they can work together to arrive at an answer to a problem.
Web Deployment
Models designed within Azure Machine Learning Studio can be pushed straight to the web where it can be accessed by people who can find them beneficial to their own projects. This lets users send data to the model and receive predictions from it, which they can apply to their own processes. However, in case of changes, developers are still able to update published models and manage them through the platform’s web services portal.
AI Access
With Azure Machine Learning Studio, developers have a library of AI algorithms within their reach. They can use these cognitive APIs to enhance their predictive modelling to come up with more accurate results to transform the way they process business intelligence data.
All in the Cloud
Azure Machine Learning Studio is accessible to anyone with an internet connection. There is no need to install programs on devices, which means it can be deployed and utilized on any desktop or laptop computer. This mobility enables users to bring their work with them wherever they go so they can finish projects at their convenience.
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