Azure Machine Learning is a cloud-based platform that lets you build, train, and deploy machine learning models. It offers a visual drag-and-drop interface alongside code-based options, catering to both technical and non-technical users. This platform helps you analyze data, gain insights, and build AI-powered applications through automated processes, making it easier to integrate predictive capabilities into your existing systems.
Who is Azure Machine Learning best for
Azure Machine Learning is a user-friendly cloud platform ideal for enterprises in the software and IT sectors building and deploying machine learning models. It offers a drag-and-drop interface and automated features, simplifying AI model creation and deployment. While praised for its ease of use and Azure integration, some users find it costly and complex for advanced customization.
Best for enterprise companies.
Ideal for the Software, IT, and Telecommunications industry.
Azure Machine Learning features
Supported
Azure Machine Learning offers pre-trained models that can be fine-tuned for specific tasks.
Supported
Azure Machine Learning supports calculating accuracy, precision, recall, and F1-score.
Supported
Azure Machine Learning supports deploying models to the cloud using various methods, including managed online endpoints.
Supported
Azure Machine Learning simplifies AI model creation with automated tools and visual interfaces.
Supported
Azure Machine Learning supports GPU training for accelerated model training.
Supported
Azure Machine Learning supports data preprocessing, including cleaning, transformation, and feature engineering.
Qualities
We evaluate the sentiment that users express about non-functional aspects of the
software
Value and Pricing Transparency
Rather negative
-0.5
Ease of Use
Strongly positive
+0.85
Reliability and Performance
Neutral
+0
Ease of Implementation
Neutral
-0.09
Scalability
Rather positive
+0.6
Azure Machine Learning reviews
We've summarised 87
Azure Machine Learning reviews (Azure Machine Learning G2 reviews) and
summarised the main points below.
Pros of Azure Machine Learning
User-friendly drag-and-drop interface, suitable for beginners.
Automated ML and deployment features simplify the process.
Seamless integration with other Azure services.
Pre-defined components and algorithms cater to various business needs.
Comprehensive documentation and community support.
Cons of Azure Machine Learning
Difficult integration with data sources outside the Azure ecosystem.
Steep learning curve, especially for those new to Azure or machine learning.
Limited customization for advanced features.
Costly, especially for large-scale projects or extended use.
Occasional performance issues like slow processing or server hangs.
Azure Machine Learning pricing
The commentary is based on 13 reviews from Azure Machine Learning G2 reviews.
While Azure Machine Learning offers valuable features and ease of use, several reviews mention concerns about its cost and complex pricing structure. Some users find it expensive, especially for large-scale workloads, and suggest exploring competitive pricing options. Despite this, many appreciate its scalability and pay-as-you-go model for budget control.
Users sentiment
Rather negative
-0.5
Azure Machine Learning alternatives
Amazon SageMaker
Build, train, and deploy machine learning models easily.
What is Azure Machine Learning and what does Azure Machine Learning do?
Azure Machine Learning is a cloud platform for building, training, and deploying machine learning models. It offers a user-friendly interface with automated processes, enabling data analysis, insights generation, and AI-powered application development. It caters to both beginners and experienced users with its drag-and-drop interface and code-based options.
What is Azure Machine Learning and what does Azure Machine Learning do?
Azure Machine Learning is a cloud platform for building, training, and deploying machine learning models. It offers a user-friendly interface with automated processes, enabling data analysis, insights generation, and AI-powered application development. It caters to both beginners and experienced users with its drag-and-drop interface and code-based options.
How does Azure Machine Learning integrate with other tools?
Azure Machine Learning integrates seamlessly with other Azure services. It supports various data sources and open-source tools, simplifying the development and deployment of machine learning models within the Azure ecosystem. However, users have noted difficulties integrating with external data sources.
How does Azure Machine Learning integrate with other tools?
Azure Machine Learning integrates seamlessly with other Azure services. It supports various data sources and open-source tools, simplifying the development and deployment of machine learning models within the Azure ecosystem. However, users have noted difficulties integrating with external data sources.
What the main competitors of Azure Machine Learning?
Top alternatives to Azure Machine Learning include IBM Watson Studio, MATLAB, Qlik AutoML, Saturn Cloud, and Edge Impulse. These competitors offer various features for building, training, and deploying machine learning models, often with different focuses like edge computing or automated machine learning.
What the main competitors of Azure Machine Learning?
Top alternatives to Azure Machine Learning include IBM Watson Studio, MATLAB, Qlik AutoML, Saturn Cloud, and Edge Impulse. These competitors offer various features for building, training, and deploying machine learning models, often with different focuses like edge computing or automated machine learning.
Is Azure Machine Learning legit?
Azure Machine Learning is a legitimate and safe cloud-based machine learning platform from Microsoft. It offers various tools and features suitable for building, training, and deploying machine learning models. While it has a user-friendly interface, some users find it costly and complex for advanced features.
Is Azure Machine Learning legit?
Azure Machine Learning is a legitimate and safe cloud-based machine learning platform from Microsoft. It offers various tools and features suitable for building, training, and deploying machine learning models. While it has a user-friendly interface, some users find it costly and complex for advanced features.
How much does Azure Machine Learning cost?
Azure Machine Learning pricing details are not available. Contact Microsoft's sales team for pricing information regarding Azure Machine Learning's product worth and machine learning solutions.
How much does Azure Machine Learning cost?
Azure Machine Learning pricing details are not available. Contact Microsoft's sales team for pricing information regarding Azure Machine Learning's product worth and machine learning solutions.
Is Azure Machine Learning customer service good?
Customer reviews indicate that Azure Machine Learning's customer support, especially for Azure Stack, is excellent, with helpful documentation and community support. Users also praise the platform's ease of use and implementation.
Is Azure Machine Learning customer service good?
Customer reviews indicate that Azure Machine Learning's customer support, especially for Azure Stack, is excellent, with helpful documentation and community support. Users also praise the platform's ease of use and implementation.
Reviewed by
MK
Michal Kaczor
CEO at Gralio
Michal has worked at startups for many years and writes about topics relating to software selection and IT
management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs
of any business and find solutions to its problems.
TT
Tymon Terlikiewicz
CTO at Gralio
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech
department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX,
HR, Payroll, Marketing automation and various developer tools.
NEW: Introducing Gralio Screen Buddy
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe
you can use your tools better, automate tasks, or switch software.