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

Gemini Enterprise Agent Platform

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User Insights

Average based on 90 real user reviews.

Implementation Time

3 months

Perceived Cost

$$$$$

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

10/2/2019

"Amazing Experience"

4.5/5

What do you like best about Azure Machine Learning?

In Azure ML, We can create our own free workspace and in a customised way we can design the flow as per our requirement. We can connect to Database to run our query and built in algorithms we can use. It is very easy to deploy also. We were to retrain the model whenever required. Sample code was given in the Azure ML service itself which shows how to connect our model with our current Application. It provides an API key and API Url which helps to connect with our Application. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

In my Project, It was required to predict more accurately than it was currently doing. So, We got a Tensorflow Model which was helping us to predict more Accurately. I wanted to host Tensorflow model in Azure ML Service. As per instructions given in the Azure ML MSDN document It was not getting successfully deployed. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

It is very easy to use. So, go for it. Review collected by and hosted on G2.com.

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

Our Application is Smart City which is known as Advanced Operations Center. Part of this Application used to generate Alert but now we wanted it to generate Alert on the basis of Tweets of incident or some serious situations. Using Twitter handler we were able get Tweets. Then Passing that tweet to Azure Microsoft LUIS application which does work as NLP. Further, We passes it to Azure Machine Learning which searches for the words as per our trained data and predicts if the present tweet is Alert or not. If it is Alert then whether it is Critical, High or Moderate. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

10/15/2019

Business partner of the seller or seller's competitor, not included in G2 scores.

"Drag and Drop AI-ML Studio"

4.5/5

What do you like best about Azure Machine Learning?

The best thing about this tool is Drag and Drop with Flow chart like diagram service. It provides best infrastructure to code with No code policy. You also can visualize the Actual Flow of Training Machine learning model. You can also analyze data with csv and excel. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

As of Now, I do not find any dislikes about Azure Machine learning Studio. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

If you are a machine learning aspirant you can explore this Machine Learning Studio for playing around. You can actually visualize the process. First of Free tier can be used but for Development purposes you can choose appropriate plans. Review collected by and hosted on G2.com.

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

I have been using this ML Studio for Data analysis purpose of House price prediction on Kaggle. I have done and visualized using graphs. Also developed one model for image processing. Review collected by and hosted on G2.com.

Verified User in Primary/Secondary Education

Enterprise (> 1000 emp.)

12/26/2019

"Microsoft has become a go for Machine Learning"

5/5

What do you like best about Azure Machine Learning?

Cloud services allow you to use the cloud provider’s resources for data storage and processing so that you are not restricted by your local device or resources. Cloud services are highly scalable and fully managed Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Nothing so far. It is a great machine learning tool which in demand in the market. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

DON’T USE IF: You are working on unsupervised learning and complex data types. Review collected by and hosted on G2.com.

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

There are several useful features integrated with this service: AutoML, MLOps (DevOps for ML), model interoperability, ability to use with FPGA (Field Programmable Gate Arrays), and ONNX (Open Neural Network Exchange) to optimize model scoring. They are very much helpful in business solutions. Review collected by and hosted on G2.com.

Radoslav G.

Software Architect & Managing Partner

Computer Software

Small-Business (50 or fewer emp.)

9/3/2019

"Azure Machine Learning is amazing!"

5/5

What do you like best about Azure Machine Learning?

Azure Machine Learning is so flexible - you can choose to start with whatever technology you like, whether it is Microsoft or other proven third-party technologies. I particularly like the new features of Automated ML which save much of the hassle when building models. Another handy feature is the UI-based design of models when you don't feel like writing code. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

I would say it's kind of difficult to get started using it when you are unsure what technology to pick from the start, which experience to choose - UI-based or Code-First. Moreover, some people can possibly confuse Azure Machine Learning Studio with Azure Machine Learning Service. Review collected by and hosted on G2.com.

Llazar G.

Software Developer

Information Technology and Services

Small-Business (50 or fewer emp.)

8/17/2019

"Working with Azure Machine Learning"

4.5/5

What do you like best about Azure Machine Learning?

Using and setting up the Machine Learning workspace is simple and straightforward. The entire platform works with machine learning algorithms that learn from previous inputs and predict data accurately, every time. You just drag-and-drop your datasets and analysis modules and link them together to create an experiment that runs in Machine Learning Studio. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Working with programming languages like Python and R is much tougher than using the GUI. If you can figure out how to call Python/R from within Azure ML, you likely can do it on your own. In some cases the price. Review collected by and hosted on G2.com.

Stanley D.

Data Engineer

Computer Hardware

Small-Business (50 or fewer emp.)

6/27/2019

"Machine learning with style"

5/5

What do you like best about Azure Machine Learning?

1. I so much love the user experience, user interface and particularly, the drag and drop feature designed by the Microsoft team, which also lets you view the source code of each of the blocks as a notebook file.

2. Data visualization is easy, fast and clean on Azure Machine Learning Studio.

3. Azure Machine Learning Studio integrates well with other Microsoft products, such as making machine learning prediction on a dataset opened on Microsoft Excel using an already created model in the studio. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

It is only available online, and one needs a strong internet connection in order to work effectively with Azure Machine Learning Studio. Review collected by and hosted on G2.com.

Edoardo C.

Data Scientist

Information Technology and Services

Enterprise (> 1000 emp.)

9/10/2019

"Machone Learning made accessible to Citizen Data Scientist"

3/5

What do you like best about Azure Machine Learning?

Azure Machine Learning most helpful features are its ease of use, thanks to its drag and drop user interface, and its cloud-based nature. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Azure Machine Learning is not flexible enough for people who are capable of doing Machine Learning by coding, even if it allows users to add some custom code. Review collected by and hosted on G2.com.

Subrata G.

Assistant Consultant

Information Technology and Services

Enterprise (> 1000 emp.)

8/25/2019

"Azure Machine Learning - No more HDInsights or Databricks!!"

4/5

What do you like best about Azure Machine Learning?

Alerting process and dynamic threshold adjustment when used Microsoft AI is really good. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Azure machine learning with internal hosting capabilities uses multiple opensource softwares. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

Good product for effective, alerting and data processing with Log Analytics and Azure Monitor. Review collected by and hosted on G2.com.

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

Big data processing, different data sources including Cosmos DB, Log analytics, Datalake storage and Application Insights. Review collected by and hosted on G2.com.

Verified User in Logistics and Supply Chain

Enterprise (> 1000 emp.)

9/9/2019

"Best cloud platform to deploy all sorts of machine learning algorithms and to build models"

5/5

What do you like best about Azure Machine Learning?

It provides scalability and also gives the choice to apply any built-in algorithms as per requirement. We in our team in the data science project at Accenture are using Azure as a cloud to deploy our models. It is the best among all. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Please provide videos on your Azure cloud site and conduct online sessions from Microsoft to teach newcomers about this platform. Review collected by and hosted on G2.com.