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
Yash l.
- Role: Student Academic
- Industry: Engineering
- Involvement: End User of Application
Submitted May 2021
"Easy to train and test model using drag and drop"
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Microsoft Azure Machine Learning Studio has the best drag and drop functionalities. Jupyter Notebook platform has integrated with this studio so, end-user can write and execute their code easily which makes this studio more flexible as compared to other similar products. Here end-user can use the designer tool to train their machine learning model using drag and drop to the modules and dataset to create an ML flowchart. They also provide Data labeling features for labeling the dataset and have more capabilities as compared to other similar products.
What is your favorite aspect of this product?
My favorite aspect of this product is that they provide a no-code service to the end-user so, the end-user can easily train their model without writing any programming code. This product provides lots of algorithms. This product provides a specific API URL and API key so, the end-user can integrate their machine learning model with the application. It has the best user interface. Data visualization and Data labeling are the key features of the studio. Studio predicts the end-user data accurately. End-user can integrate their machine learning model with other Microsoft applications like Microsoft Excel so, the model predicts data from excel.
What do you dislike most about this product?
Storage space is limited and the subscription cost is too high. It takes lots of time while creating a machine learning model. Other than that all features and services are good.
What recommendations would you give to someone considering this product?
Microsoft Azure Machine Learning Studio is very easy to use. If end-user are enthusiastic about AIML the product is very useful for them, whether you are a beginner. End-user can easily train and predict their model so, go for it. The main thing that end-user should consider, you have to choose the subscription plan for using this studio. The features and service this product provides are good so, if you are looking for a studio that has all the AIML tools so, considering this product is valuable.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Lindsay D.
- Role: Operations
- Industry: Healthcare
- Involvement: Vendor Selection and Purchasing
Submitted Jan 2020
Pricey but well worth the money
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
It’s features and algorhythms
What is your favorite aspect of this product?
Cost effective
What do you dislike most about this product?
Nothing in particular
What recommendations would you give to someone considering this product?
Be patient and fully train yourself
Pros
- Continually Improving Product
- Reliable
- Enables Productivity
- Trustworthy
