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
100 Plan to Renew
85 Satisfaction of Cost Relative to Value
1
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.
+92 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
- Includes Product Enhancements
- Reliable
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
Data Pre-Processing
Feature Engineering
Model Tuning
Performance and Scalability
Data Labeling
Model Monitoring and Management
Data Ingestion
Explainability
Vendor Capability Ratings
Breadth of Features
Ease of Data Integration
Quality of Features
Ease of Implementation
Ease of Customization
Availability and Quality of Training
Business Value Created
Ease of IT Administration
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Vendor Support
Microsoft Azure Machine Learning Reviews
Kailash S.
- Role: Information Technology
- Industry: Consulting
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2024
Empowering Data Innovation: A Review of Microsoft
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Microsoft Azure Machine Learning sets itself apart with seamless integration, enterprise-grade security, scalability, advanced analytics, collaboration features, and flexibility.
What do you dislike most about this product?
Some common areas for improvement in Microsoft Azure Machine Learning include pricing complexity, steep learning curve, documentation quality, resource management challenges, and performance optimization.
What recommendations would you give to someone considering this product?
Consider your needs, explore tutorials, start small and scale gradually, leverage the Azure ecosystem, invest in training and support, and monitor costs and performance.
Pros
- Performance Enhancing
- Effective Service
- Fair
- Includes Product Enhancements
Urnisha S.
- Role: Student Academic
- Industry: Engineering
- Involvement: End User of Application
Submitted Apr 2024
"Very Efficient" "Outstanding Product"
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
The exceptional scalability, dependability, and flexibility of Microsoft Azure Machine Learning are made possible by its smooth connection with the larger Azure ecosystem. The full machine learning lifecycle—which includes data preparation, model training, deployment, and monitoring—is supported by its extensive toolkit. Moreover, its capacity to accommodate various infrastructure requirements is guaranteed by its support for multi-cloud and hybrid deployments. Overall, what distinguishes Azure ML from other similar products is its combination of strong features, scalability, and ecosystem integration.
What is your favorite aspect of this product?
The best thing about Microsoft Azure Machine Learning, in my opinion, is how well it integrates with the larger Azure ecosystem while providing a full range of tools and services for machine learning workflows from start to finish. For optimal effectiveness and productivity, users may take advantage of this integration's scalable architecture, varied data sources, and powerful AI capabilities all within a single, integrated environment.
What do you dislike most about this product?
Azure works well according to my requirements, and I am quite benefiting from this software, but I just hope that it is a little bit less costly.
What recommendations would you give to someone considering this product?
For someone considering Microsoft Azure Machine Learning, I strongly advise carefully evaluating their unique requirements and goals. Analyze Azure ML's capabilities in relation to their needs, taking into account aspects like scalability, user-friendliness, system integration, and compatibility with the programming languages and frameworks of their choice. Additionally, learn about the platform and make the most of its potential for their machine learning projects by utilizing the tools that are readily available, such as tutorials, documentation, and customer support.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
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
