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Azure Machine Learning

Azure Machine Learning

Overview

What is Azure Machine Learning?

Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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Studio Pricing - Free

$0.00

Cloud
per month

Production Web API - Dev/Test

$0.00

Cloud
per month

Studio Pricing - Standard

$9.99

Cloud
per ML studio workspace/per month

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is Azure Machine Learning?

Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.

Azure Machine Learning Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(35)

Attribute Ratings

Reviews

(1-1 of 1)
Companies can't remove reviews or game the system. Here's why
August 23, 2019

Azure Machine Learning studio is not ready for serious production use

Verified User
Professional in Information Technology
Education Management Company, 1001-5000 employees
Score 2 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
I create data science learning materials on Azure that require no coding. I use publicly available property data from Hong Kong island and surrounding areas. I teach my students how to preprocess the data, clean it up and create a hypothesis based on the type of data. We apply learning algorithms on the data and improve on the mode. The dataset was relatively small yet it took a while for the platform to get the analysis.
Pros and Cons
  • Adding python scripts
  • Pre-trained models
  • Case studies of industry projects
  • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
  • Scenario-based documentation
  • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
Likelihood to Recommend
Azure can be a more unified product. It feels like 10 different tech teams were building it but we're not talking to each other. An example is when the user needs to know what is the next step. Automatically saving a previous state is very helpful as new users are usually not aware of the functionality.
Azure Machine Learning Feature Ratings
Usability
7
Good UX/UI and overall good usability, but it takes a while to get used to the product & platform. The whole design seems fragmented with little in terms of integration with project management tools such as JIRA, or wireframing. Overall it feels like an unfinished product that's meant for teaching more than for production.
Support Rating
1
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
Alternatives Considered
H20.ai assumes the users are non-technical and with 10 mouse clicks is able to run a data science project.
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