Microsoft Azure Machine Learning
What is Microsoft Azure Machine Learning?
Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks. Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
89 Likeliness to Recommend
1
Since last award
94 Plan to Renew
6
Since last award
84 Satisfaction of Cost Relative to Value
2
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+94 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Microsoft Azure Machine Learning?
Pros
- Performance Enhancing
- Respectful
- Reliable
- Security Protects
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Model Training
Data Exploration and Visualization
Pre-Packaged AI/ML Services
Model Tuning
Data Pre-Processing
Feature Engineering
Model Monitoring and Management
Algorithm Recommendation
Data Labeling
Ensembling
Data Ingestion
Vendor Capability Ratings
Ease of Data Integration
Ease of Customization
Ease of IT Administration
Breadth of Features
Quality of Features
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Availability and Quality of Training
Ease of Implementation
Business Value Created
Vendor Support
Microsoft Azure Machine Learning Reviews
Bir B.
- Role: Industry Specific Role
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2024
Good functionalities, but the ui need improvement.
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Its easy to use functionalities and continuously updating software.
What is your favorite aspect of this product?
functionalities are easy to use, adaptive and ensembling is also easy.
What do you dislike most about this product?
Nothing as of now.
What recommendations would you give to someone considering this product?
Start with documentation for ease of use, learning might be steep, but after that, its kids play.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Trustworthy
Kumar A.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Mar 2024
Begineers Friendly
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Microsoft Azure Machine Learning stands out for its seamless integration with the broader Azure ecosystem, offering extensive scalability, security, and flexibility, along with a rich set of pre-built tools and services for end-to-end machine learning workflows.
What is your favorite aspect of this product?
Favourite aspect of Microsoft Azure Machine Learning is its comprehensive set of features catering to diverse needs, including automated machine learning, model deployment,
What do you dislike most about this product?
I dont have any dislike.
What recommendations would you give to someone considering this product?
Prioritize understanding Azure Machine Learning's pricing, ensure compatibility with your tech stack, and leverage its extensive documentation and community support for successful adoption.
Pros
- Continually Improving Product
- Reliable
- Efficient Service
- Inspires Innovation
Vishal R.
- Role: Information Technology
- Industry: Other
- Involvement: End User of Application
Submitted Jan 2026
Simple and Powerful
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Microsoft Azure Machine Learning is the great tool even for the beginners, i used it in my last project where I managed the data, train models, and launch them at one place without any hassle. The best thing is it works perfectly with other Azure tools. Also, it includes multiple unique features for beginner and advance users.
What is your favorite aspect of this product?
My favorite aspect of this product is the console which is very easy to understand and execute multiple features.
What do you dislike most about this product?
I have not encountered any difficulties till now, i like the product more.
What recommendations would you give to someone considering this product?
If you are a small team who wants to build, train and launch the models at one place, i strongly suggest you to go for it.
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Efficient Service
