Azure Machine Learning Studio Reviews

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.

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.

For creating a Chatbot we used the Azure Machine Learning studio. In which we created the model. where we added questions and answer for a chatbot. Also made use of the Intent Identification and entity extraction

Its a Awesome Product, can be used as a service, very flexible in building interface, numerous algorithms are supported, support of web services and awesome documentation.

Nothing for now. everything is fine for now.

Yet to implement, it will take sometime - will definitely comeback based on requirement.

It is highly sophisticated and gives all the features at ease for machine learning programming.

there is nothing to dislike about Azure Machine Learning

Azure Machine Learning is solving recognition problems for alerts for my team and helps to prioritise the alerts on the basis of keywords.

The video which explain everything well.

I appreciate the videos and explanations.

The topics discussed in it.

Everything was great!

It works very well

The course is a bit lengthy.

It explains us very well. No issues found.

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

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

I used the studio to automate some predictions with pre trained models. Also used the same to conduct a session for not so ML crowd to introduce to ML and showcase capabilities of same in azure. The tool requires minimal coding which makes it a goto platform for quick poc building for problems such as recommendation systems, regression based problems etc

The environment is best we can use the environment veru efficiently

Nothing The environment is best we can use the environment veru efficiently

Is solve data platform issues which we get as it is a collaborative platform

Its very user friendly. The platform and environment is friendly. As a fresher to machine learning, this platform helped me to adapt quickly to its environment .

I liked most of the features in it. But i feel inneed more flexibility to adapt and learn. Some features are limited and, I personally didn't like it as i need to explore more.

It helped me understand Machine Learning and helped me to develop and deploy my Machine Learning Model. Also with the help of its GUI , i quickly deployed my model.

It is designed to be easy to use, even for beginners. The drag-and-drop interface makes it easy to create and configure machine learning models, and the built-in tools provide everything you need to train, test, and deploy your models.

It can be difficult to integrate cutting-edge procedures into your projects. The drag-and-drop process of building your pipeline is slower than typing.There are fewer help guides and questions/answers available online than for other machine learning tools.

The difficulty of building and deploying machine learning models. Machine learning can be a complex and time-consuming process. Azure Machine Learning Studio simplifies this process by providing a drag-and-drop interface, pre-built algorithms, and a variety of compute options