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.
88 Likeliness to Recommend
1
Since last award
95 Plan to Renew
83 Satisfaction of Cost Relative to Value
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
- Helps Innovate
- Reliable
- Includes Product Enhancements
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
Pre-Packaged AI/ML Services
Model Training
Data Labeling
Model Tuning
Data Exploration and Visualization
Algorithm Diversity
Feature Engineering
Data Pre-Processing
Model Monitoring and Management
Algorithm Recommendation
Ensembling
Vendor Capability Ratings
Ease of Data Integration
Ease of Customization
Quality of Features
Product Strategy and Rate of Improvement
Availability and Quality of Training
Breadth of Features
Ease of Implementation
Ease of IT Administration
Usability and Intuitiveness
Vendor Support
Business Value Created
Microsoft Azure Machine Learning Reviews
K. BHAVYA S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Jun 2024
Running ML applications Virtually with low cost.
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
More services and easy of use and integration with projects and the products.
What is your favorite aspect of this product?
servers usage is far better than others.
What do you dislike most about this product?
Nothing like that i like the product more.
What recommendations would you give to someone considering this product?
Must use this applications for developing ml applications easily.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Atharva V.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2024
Enhancing the AI Developer Experience:
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
What makes Microsoft Azure Machine Learning apart is its smooth integration with other Azure services, making it easy to scale up. Plus, it covers everything from data preparation to model deployment, all in one user-friendly package.
What is your favorite aspect of this product?
My favourite feature of Microsoft Azure Machine Learning is how easy it is to deploy and manage models at scale thanks to its connection with Kubernetes, which is one of its many robust model deployment options.
What do you dislike most about this product?
Certain complex capabilities have a steep learning curve, and there can occasionally be confusion with the price structure, particularly when it comes to how it integrates with other Azure services.
What recommendations would you give to someone considering this product?
Start with the tutorials to gain an understanding of Microsoft Azure Machine Learning if you're considering using it. Check whether the free tier meets your needs and ensures an easy match with your current process and tools.
Pros
- Helps Innovate
- Performance Enhancing
- Enables Productivity
- Continually Improving Product
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
