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
Anup K.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Mar 2024
Azure ML best pre-packaged ML solution
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
1. Ease of Use 2. High quality
What is your favorite aspect of this product?
1. Ease of use 2. SDK availability 3. Time to market 4. High quality
What do you dislike most about this product?
1. Model training related improvements required
What recommendations would you give to someone considering this product?
This is a good ML platform which gave us the breadth of solutions that we required and cost effective. We recommend Azure ML platform. You can confidently evaluate this platform to understand the suitability to your requirement
Pros
- Continually Improving Product
- Reliable
- Trustworthy
- Inspires Innovation
Cons
- Less Efficient Service
- Less Effective Service
- Vendor Friendly Policies
Gaurav C.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Great tool for ML
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 Microsoft ecosystem, offering easy connectivity with Azure services like storage, databases, and analytics tools. Its comprehensive suite includes automated machine learning capabilities, enabling users to build, train, and deploy models efficiently
What do you dislike most about this product?
One potential drawback of Microsoft Azure Machine Learning is its complexity, especially for newcomers to the platform. Navigating through its various components and understanding how they interact can be challenging initially.
What recommendations would you give to someone considering this product?
For those considering Microsoft Azure Machine Learning, I'd recommend starting with thorough documentation and tutorials provided by Microsoft to grasp the platform's fundamentals. Collaborating with experienced practitioners or seeking community support can also expedite the learning process and help navigate complex scenarios effectively.
Pros
- Continually Improving Product
- Reliable
- Enables Productivity
- Trustworthy
Avinash G.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Really awesome service easy to use
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Azure service is mind blowing it's GPU power and all the services that provided by azure
What is your favorite aspect of this product?
Service for AI integration and some High GPU processing
What do you dislike most about this product?
There is nothing to dislike but pricing is little bit more but anyway I don't mind it and really like it
What recommendations would you give to someone considering this product?
If you're building large AI model or ML model go for it
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
