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
Michael N.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Jan 2023
Microsoft all the way!
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Azure ML can be easily integrated with other Azure services such as Azure Data Factory, Azure Databricks, and Azure Stream Analytics, allowing users to easily build end-to-end machine learning solutions. Azure ML supports a wide range of frameworks and tools including TensorFlow, PyTorch, and scikit-learn, allowing users to use the tools they are already familiar with.
What is your favorite aspect of this product?
One of the most useful features of Microsoft Azure Machine Learning is its flexibility and scalability. It allows users to build, deploy, and manage machine learning models in a variety of environments, including the cloud, on-premises, and at the edge.
What do you dislike most about this product?
Microsoft Azure Machine Learning may have certain limitations or features that users might find challenging to work with. Some users have reported that the cost of using certain features or services within the platform can be high.
What recommendations would you give to someone considering this product?
Before using any machine learning platform, it's important to have a clear understanding of your use-case, and what specific features and services you will need from the platform. Microsoft Azure Machine Learning provides a wide range of tools and services, and the cost of using these can vary. Make sure you understand the costs associated with the features and services you will be using, and whether they fit within your budget.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Amr A.
- Role: Student Academic
- Industry: Education
- Involvement: End User of Application
Submitted Jan 2023
Easy to use Machine Learning Solution.
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
The platform provides a no code/low code environment and pre-trained ML models to help users develop and iterate on their pipelines in less time and with more accuracy.
What is your favorite aspect of this product?
Azure Machine Learning platform operates on top of advanced technologies and tools designed to democratize AI technologies and help Citizen Developers build end-to-end solutions.
What do you dislike most about this product?
The user interface is confusing for beginner users and requires some time to get familiar with its features, navigation menus, and action buttons.
What recommendations would you give to someone considering this product?
It would be great to consider the Azure Ai fundamental certificate exam preparation materials on Microsoft Learn and to get your hands on the attached exercise laps as you learn about the service features.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Akash G.
- Role: Consultant
- Industry: Technology
- Involvement: End User of Application
Submitted Jan 2023
Its a very intuitive product
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Its ml capabilities and ease of use
What is your favorite aspect of this product?
Ease of Use.
What do you dislike most about this product?
Its cost is something that they need to work on.
What recommendations would you give to someone considering this product?
Azure ml is a nice product to start with.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
