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.
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Real user data aggregated to summarize the product performance and customer experience.
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87 Likeliness to Recommend
100 Plan to Renew
85 Satisfaction of Cost Relative to Value
5
Since last award
Emotional Footprint Overview
+91 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
- Security Protects
Emotional Footprint
How to Read
Positive
Neutral
Negative
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
Feature Ratings
Data Exploration and Visualization
Model Training
Feature Engineering
Explainability
Data Labeling
Pre-Packaged AI/ML Services
Model Monitoring and Management
Data Pre-Processing
Algorithm Recommendation
Performance and Scalability
Ensembling
Vendor Capability Ratings
Ease of IT Administration
Usability and Intuitiveness
Breadth of Features
Business Value Created
Vendor Support
Availability and Quality of Training
Ease of Data Integration
Quality of Features
Ease of Customization
Ease of Implementation
Product Strategy and Rate of Improvement
Microsoft Azure Machine Learning Reviews
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
Pawan K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Mar 2024
Go-ahead and use your apps with this machine learn
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
First of all, it integration with existing Microsoft technologies which we are already using in our environment and second is trust.
What is your favorite aspect of this product?
Building and training models without writing codes.
What do you dislike most about this product?
Costing can be at a bit cheaper side.
What recommendations would you give to someone considering this product?
Just use it and build you apps using machine learning.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Saurabh S.
- Role: Consultant
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
Azure Machine Learning Experience
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
It can be integrated with different kind of programming language like python and tools, it does not restrict administrator at any point and any kind of need of use. Azure Machine Learning Service have full control on training scalability with custom compute targets.
What is your favorite aspect of this product?
AI Automation is my favorite aspect. i have used and made multiple custom automation task and schedule to smooth operational challenges and reduce human interaction.
What do you dislike most about this product?
The Cost of this product is high but it justify with provided features.
What recommendations would you give to someone considering this product?
Data shaping and data cleaning is one of the most important features of Azure machine learning. and because of it my team spend most of the time. Azure ML user interface for data shaping and cleaning is clunky. It is very easy to write R code for this and copy/paste that code into Azure ML.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Trustworthy
