Most of the services are predefined to meet the business needs.Easy to create the experiment, understanding of the algorithm is easy and we can able to deploy the model as a web service. Review collected by and hosted on G2.com.

Nothing specific to explain, However cost wise Azure can rethink to provide competitive pricing Review collected by and hosted on G2.com.

Its easy to use and get started. We can deploy the models as a web service very efficiently using Azure ML Review collected by and hosted on G2.com.

It's a bit tough to integrate the data while creating new models Review collected by and hosted on G2.com.

Azure Machine Learning Studio is an efficient environment to launch and monitor machine learning jobs and experiments. It is easy to use and implement jobs with integrated VS Code, Jupyter Lab, and Terminal.

The UI is intuitive with a number of features like Job Overview, Metrics, Docker Images, Log view, Explanations, Model Monitoring and Code Files containing the model settings.

As my frequency of use is daily I leverage the code and log features to assess the model settings and warning/info logs in runtime.

The customer support for Azure Stack is awesome with proper documentations and community support. Review collected by and hosted on G2.com.

The lack of metric support and cascading of jobs is missing, which I would like in Azure ML. Also a few flows are non-intuitive including the back from compute to Jobs. Review collected by and hosted on G2.com.

I like that it can be used by a beginner like me. I have recently begun exploring different services for analyzing ML models, and I feel relatively comfortable with AML even as a beginner. Review collected by and hosted on G2.com.

I had a hard time setting up the integrations with tools outside of the Azure ecosystem. It is a bit time consuming. Review collected by and hosted on G2.com.

Azure machine learning has all the potential capabilities for dataset training and developed for user interaction at its best Review collected by and hosted on G2.com.

Some features like preview are missing while on training step as some unnecessary data loading might occur Review collected by and hosted on G2.com.

It's automated ML and deployment feature is great Review collected by and hosted on G2.com.

Nothing everything is great so far till now Review collected by and hosted on G2.com.

Azure Machine Learning Studio is a cloud-based service that makes it easy for the average user to build AI-based applications without writing code or getting involved in technical complications. It provides a drag-and-drop user interface for connecting data sets, choosing algorithms, and building pipelines. The service has a wealth of learning resources and a robust support community. Review collected by and hosted on G2.com.

Azure Machine Learning Studio service requires users with a robust machine learning background. And it might take a relatively long time for new users to get familiar with the Azure Platform and the machine learning studio interface. The service is slightly expensive and doesn't suit large-scale workloads. However, it can facilitate building end-to-end small solutions. Review collected by and hosted on G2.com.

AML is a cloud based platform for creating ML services at scale. It is intended for average plus users with minimal knowledge required to get started with. Coding and technical knowledge demanded for using the platform is below average compared to DS and ML practioners who use only code to build ML services Review collected by and hosted on G2.com.

The users will take ample time to familiarize with UI. Even someone with good background in ML will take relatively much time to get a hang of the UI. Also the cost of using a resource is high and hence we can't play around with the tool as users wound want at the first place to get started Review collected by and hosted on G2.com.

It is easy to use, contains tool boxes such as hypertonic. Review collected by and hosted on G2.com.

Nothing. Includes codes such as ANN and CNN Review collected by and hosted on G2.com.

The accessibility and usability of the website. Need very less knowledge to understand How to use the platform. Very easy to access. Can efficiently create a model and can train it. Review collected by and hosted on G2.com.

Well. after deploying the train model, there should be more details on how to connect it application. As a beginner, it's difficult to understand. Sometimes the entity extraction don't work properly after training it. Review collected by and hosted on G2.com.