Azure Machine Learning Reviews & Product Details

Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces. - AI Infrastructure: Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking. - Automated Machine Learning: Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing. - Responsible AI: Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness. - Model Catalog: Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere, and more using the model catalog. - Prompt Flow: Design, construct, evaluate, and deploy language model workflows with prompt flow. - Managed Endpoints: Operationalize model deployment and scoring, log metrics, and perform safe model rollouts. Primary Value and Solutions Provided: Azure Machine Learning accelerates time to value by streamlining prompt engineering and machine learning model workflows, facilitating faster model development with powerful AI infrastructure. It streamlines operations by enabling reproducible end-to-end pipelines and automating workflows with continuous integration and continuous delivery (CI/CD). The platform ensures confidence in development through unified data and AI governance with built-in security and compliance, allowing compute to run anywhere for hybrid machine learning. Additionally, it promotes responsible AI by providing visibility into models, evaluating language model workflows, and mitigating fairness, biases, and harm with built-in safety systems.

Seller

Microsoft

Discussions

Azure Machine Learning Community

Solution Type

All-in-One

Overview by

Don Scott (GM, AI Product @ Microsoft)

Value at a Glance

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

11 months

View More Pricing Information

Top-Rated Alternatives

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User Insights

Average based on 90 real user reviews.

Implementation Time

3 months

Perceived Cost

$$$$$

Sreenivasa Rao R.

Sr.Manager Architect

Enterprise (> 1000 emp.)

5/1/2024

"Azure ML"

5/5

What do you like best about Azure Machine Learning?

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.

What do you dislike about Azure Machine Learning?

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

AMIT P.

Software Engineer

Enterprise (> 1000 emp.)

4/26/2024

"Azure ML"

4/5

What do you like best about Azure Machine Learning?

It's 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.

What do you dislike about Azure Machine Learning?

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

Verified User in Food & Beverages

Enterprise (> 1000 emp.)

10/5/2023

"Azure ML Studio is an efficient environment for Machine Learning Experiments"

4.5/5

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

Enterprise (> 1000 emp.)

5/17/2024

"Positive experience using Azure Machine Learning"

4/5

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.

Analyst

Small-Business (50 or fewer emp.)

4/11/2024

"A delightful and comprehensive machine learning tool - Azure"

4.5/5

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.

Associate Technology L2

Enterprise (> 1000 emp.)

5/4/2024

"Best review"

5/5

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.

BI Developer

Information Technology and Services

Small-Business (50 or fewer emp.)

5/31/2023

"Easy to use Machine learning Service."

4.5/5

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.

What problems is Azure Machine Learning solving and how is that benefiting you?

Azure Machine Learning Studio helps my team automate the machine learning process using pre-trained models to get started with machine learning-based applications quickly and easily. The service allows us to build Product recommendation solutions for our clients with minimal technical work that, in return, lets us focus more on business logic and solution development rather than the infrastructure, resources allocation, and underlying technologies. Also, it helps my business get more control over budget through a convenient pay-as-you-go pricing model. Review collected by and hosted on G2.com.

Haritha C.

Machine Learning Engineer

Enterprise (> 1000 emp.)

6/20/2023

"ML at scale"

5/5

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 practitioners 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.

What problems is Azure Machine Learning solving and how is that benefiting you?

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 Review collected by and hosted on G2.com.

Verified User in Higher Education

Small-Business (50 or fewer emp.)

4/29/2024

"Extremely user friendly"

5/5

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

Enterprise (> 1000 emp.)

7/26/2023

"Easy to use, Good platform for beginners also"

5/5

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.