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Azure Machine Learning Studio
Azure Machine Learning Studio

Azure Machine Learning Studio

By Apache PredictionIO


  •  1176 Interested

Highlights : About Azure Machine Learning Studio

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Drag-and-Drop Function

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Datasets

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Modules

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Experiment Conversion

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Cortana Intelligence Suite

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Cortana Intelligence Gallery

About Azure Machine Learning Studio

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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