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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89 Likeliness to Recommend
2
Since last award
100 Plan to Renew
86 Satisfaction of Cost Relative to Value
4
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
- Reliable
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
Pre-Packaged AI/ML Services
Data Pre-Processing
Explainability
Performance and Scalability
Model Tuning
Data Labeling
Model Monitoring and Management
Algorithm Recommendation
Vendor Capability Ratings
Quality of Features
Breadth of Features
Ease of Data Integration
Ease of Implementation
Ease of IT Administration
Availability and Quality of Training
Product Strategy and Rate of Improvement
Ease of Customization
Business Value Created
Usability and Intuitiveness
Vendor Support
Microsoft Azure Machine Learning Reviews
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
Ketan S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
easy & quick to setup end-to-end AI/ML solutions
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
1. Provide variety of services to successfully build any AI/ML solution easily for e.g Blob storage, visualization tools, BI tools, Model training & testing tools. 2. Additionally, we can share and collaborate with team on Azure itself which is really helpful when you are working in remote environment
What is your favorite aspect of this product?
I loved working the data labelling service. Web based UI makes it very easy to annotate data from anywhere and collaborate with the team. Also, various annotation shapes are available which makes it suitable for any business solution.
What do you dislike most about this product?
They don't have any AI recommendation services yet, which will make life of AI developer very easy.
What recommendations would you give to someone considering this product?
If you want quickly set up and make your AI environment up and running you should definitely give it a try. There will be a learning curve so as to understand the services , but once you are comfortable it will be worth it.
Pros
- Efficient Service
- Transparent
- Appreciates Incumbent Status
- Security Protects
Cons
- Slower Product Innovation
- Commodity Features
- 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
