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.
90 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.
+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
- Enables Productivity
- 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
Data Exploration and Visualization
Data Pre-Processing
Model Training
Pre-Packaged AI/ML Services
Feature Engineering
Model Tuning
Model Monitoring and Management
Data Labeling
Algorithm Recommendation
Ensembling
Data Ingestion
Vendor Capability Ratings
Ease of Data Integration
Ease of IT Administration
Quality of Features
Ease of Implementation
Ease of Customization
Product Strategy and Rate of Improvement
Breadth of Features
Usability and Intuitiveness
Availability and Quality of Training
Business Value Created
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
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
Mirali R.
- Role: Industry Specific Role
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2023
Easy to use. Satisfied!
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
It is user friendly, easy to use.
What is your favorite aspect of this product?
Azure ML seamlessly integrates with other Microsoft Azure services, providing a comprehensive ecosystem for developing, deploying, and managing machine learning models. This integration facilitates tasks like data storage, data processing, and model deployment. This is my favorite aspect of the product so far.
What do you dislike most about this product?
As I mentioned earlier, advanced model interpretability tools need to be introduced.
What recommendations would you give to someone considering this product?
I'd say when comparing it to the competitors, it provides more things, nevertheless the cost.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Saves Time
