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Azure Machine Learning Reviews & Product Details - Page 2

Azure Machine Learning Product Details

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88 Azure Machine Learning Reviews

4.3 out of 5
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88 Azure Machine Learning Reviews
4.3 out of 5
88 Azure Machine Learning Reviews
4.3 out of 5

Azure Machine Learning Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons
G2 reviews are authentic and verified.
Verified User in Food & Beverages
UF
Enterprise (> 1000 emp.)
"Azure ML Studio is an efficient environment for Machine Learning Experiments"
What do you like best about Azure Machine Learning?

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.

What do you dislike about Azure Machine Learning?

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.

Verified User in Information Services
UI
Enterprise (> 1000 emp.)
"Positive experience using Azure Machine Learning"
What do you like best about Azure Machine Learning?

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.

What do you dislike about Azure Machine Learning?

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.

Vishal U.
VU
Analyst
Small-Business (50 or fewer emp.)
"A delightful and comprehensive machine learning tool - Azure"
What do you like best about Azure Machine Learning?

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.

What do you dislike about Azure Machine Learning?

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.

Anshu M.
AM
Associate Technology L2
Enterprise (> 1000 emp.)
"Best review"
What do you like best about Azure Machine Learning?

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

What do you dislike about Azure Machine Learning?

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

Hosam K.
HK
BI Developer
Information Technology and Services
Small-Business (50 or fewer emp.)
"Easy to use Machine learning Service."
What do you like best about Azure Machine Learning?

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.

What do you dislike about Azure Machine Learning?

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.

Haritha C.
HC
Machine Learning Engineer
Enterprise (> 1000 emp.)
"ML at scale"
What do you like best about Azure Machine Learning?

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.

What do you dislike about Azure Machine Learning?

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.

Verified User in Higher Education
UH
Small-Business (50 or fewer emp.)
"Extremely user friendly"
What do you like best about Azure Machine Learning?

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

What do you dislike about Azure Machine Learning?

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

Verified User in Management Consulting
CM
Enterprise (> 1000 emp.)
"Easy to use, Good platform for beginners also"
What do you like best about Azure Machine Learning?

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.

What do you dislike about Azure Machine Learning?

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.

Simran R.
SR
Cloud Engineer
Information Technology and Services
Mid-Market (51-1000 emp.)
"Azure Machine Learning Studio Review"
What do you like best about Azure Machine Learning?

Overall, the experience is good as I can explore the public models and if people are new to ML then Azure ML studio is great to start with as it does involve minimum coding knowledge. Also, it has an interactive UI. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

It is mid-tier, so there are a lot of features that are not available currently. Also, cost is one of the factors. It is no so compatible with Tensorflow or some models. Review collected by and hosted on G2.com.

Monesh L.
ML
Programmer Analyst Trainee
Small-Business (50 or fewer emp.)
"Good User Interface"
What do you like best about Azure Machine Learning?

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. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

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. Review collected by and hosted on G2.com.

Pricing Insights

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

11 months

Average Discount

9%

Perceived Cost

$$$$$
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