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
Ritika B.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jul 2024
Best tool from Microsoft
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
It Reproduce end-to-end pipelines and automate workflows . Reproduce end-to-end pipelines and automate workflows. Also it Streamlines prompt engineering and ML model workflows.
What is your favorite aspect of this product?
My personal favorite is that it design responsibly.. I also like that it provides various MLOps tools that help you monitor, retrain, and redeploy machine learning models in production
What do you dislike most about this product?
High pricing, It would be better if that could be made a bit reasonable.
What recommendations would you give to someone considering this product?
I would recommend new users to go through the initial trainings for a better understanding of it's features. It allows a smooth experience later on
Pros
- Enables Productivity
- Unique Features
- Efficient Service
- Client Friendly Policies
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
