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
Swastik P.
- Role: Student Academic
- Industry: Engineering
- Involvement: End User of Application
Submitted Mar 2024
Confusing at start but fantastic product.
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
The n number of tools it has for different purposes, which can be used in any given scenario.
What is your favorite aspect of this product?
How well it can analyze different and advanced data.
What do you dislike most about this product?
it's just a bit complicated to get used to.
What recommendations would you give to someone considering this product?
Do go through the tutorial.
Pros
- Continually Improving Product
- Performance Enhancing
- Fair
- Altruistic
Jay S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Feb 2024
It is good for use . It also time efficient.
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
AWS machine learning
What is your favorite aspect of this product?
Delightful
What do you dislike most about this product?
Very good product
What recommendations would you give to someone considering this product?
Use it mostly because it time efficient
Pros
- Performance Enhancing
- Enables Productivity
- Trustworthy
- Unique Features
Ramy s.
- Role: Information Technology
- Industry: Consulting
- Involvement: End User of Application
Submitted Feb 2024
User-friendly Machine Learning Service.
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Azure Machine Learning integrates seamlessly with the Azure ecosystem tools and services. It provides a user-friendly drag-and-drop visual designer that helps average users develop and run advanced models within a low-code environment with minimal coding experience.
What is your favorite aspect of this product?
Azure ML is easy to use, has automatic model retraining capabilities, supports various programming languages/frameworks, and integrates with commonly used open-source data science and machine learning libraries.
What do you dislike most about this product?
While Azure Machine Learning is an easy-to-use service, it usually gets more complex as the project requires more customizations and more experienced AI, data, and Azure Cloud professionals to customize and optimize the Machine Learning workload on Azure.
What recommendations would you give to someone considering this product?
I would recommend spending enough time learning about Azure ML features, limitations, and cost and also a high-level overview of Azure Cloud service through the Azure architecture center and the official service documentation.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
