Microsoft Azure Machine Learning Studio Valuable Features

N Kumar - PeerSpot reviewer
Associate Director Of Technology at a tech vendor with 10,001+ employees

In terms of what I found most valuable in Microsoft Azure Machine Learning Studio, I especially love the designer because you can just drag and drop items there and apply the logic that's already available with the designer. I love that I can use the libraries in Microsoft Azure Machine Learning Studio, so I don't have to search for the algorithms and all the relevant libraries because I can see them directly on the designer just by dragging and dropping. Though there's a bit of work during data cleansing, that's normal and can't be avoided. At least it's easy to find the relevant algorithm, apply that algorithm to the data, then get the desired output through Microsoft Azure Machine Learning Studio.

I also like the API feature of the solution which is readily available for me to expose the output to any consuming application, so that takes out a lot of headache. Otherwise, I have to have a developer who knows the API, and I have to have an API app, so all that is completely taken care of by the Microsoft Azure Machine Learning Studio designer. With the solution, I can concentrate on how to improve the data quality to get quality recommendations, so  this lets me concentrate on my job rather than focusing on the regular development of APIs or the pipelines, in particular, the data pipelines pulling the data from other sources. All the data is taken care of and you can also concentrate on other required auxiliary activities rather than just concentrating on machine learning.

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Mahendra Prajapati - PeerSpot reviewer
Senior Data Analytics at a media company with 1,001-5,000 employees

What I like best about Microsoft Azure Machine Learning Studio is that it's a straightforward tool and it's easy to use.

Another valuable feature of the tool is AutoML which lets you get better metrics to train the model right and with good accuracy. The AutoML feature allows you to simply put in your data, and it'll pre-process and create a more accurate model for you. You don't have to do anything because AutoML in Microsoft Azure Machine Learning Studio will take care of it.

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EC
student at a university with 201-500 employees

The solution is very easy to use. It's user-friendly and simple to navigate.

The initial setup is very simple and straightforward.

The solution is quite stable.

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Buyer's Guide
Microsoft Azure Machine Learning Studio
November 2022
Learn what your peers think about Microsoft Azure Machine Learning Studio. Get advice and tips from experienced pros sharing their opinions. Updated: November 2022.
657,397 professionals have used our research since 2012.
MD
Head Of Analytics Platforms and Architecture at a manufacturing company with 10,001+ employees

The solution is very easy to use, so far as our data scientists are concerned. 

There's an excellent self-developing capability that is provided that makes the product unique.

The solution is very stable. We haven't had any issues with its performance thus far.

We've found that, if you need to, you can scale the product.

The solution is very quick to implement.

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Ariful Mondal - PeerSpot reviewer
Consulting Practice Partner - Data, Analytics & AI at FH

It's user-friendly, and it's a no-code model development. It's good for citizen data scientists, but also, other people can use Python, R or .NET code.

If you are on Microsoft Cloud, the development and implementation are super easy.

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Rishi Verma - PeerSpot reviewer
Practice Director at Birlasoft IndiaLtd.

Auto email and the studio are great features. 

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JD
Full stack Data Analyst at a tech services company with 10,001+ employees

The newer version of this solution has better integration with automated ML processes and different APIs. I feel like it is quite powerful in terms of general machine learning features, such as training data handily by having different sampling methods and has more useful modeling parameter settings. People who are not data scientists or data analysts, can quickly use the platform and build models to leverage the data to do some predictive models.

Azure Machine Learning Studio's most valuable features are the package from Azure AutoML. It is quite powerful compared to the building of ML in Databricks or other AutoMLs from other companies, such as Google and Amazon. It has the most sophisticated set of categories of parameters. The data encodings and options are good and it has the most detailed settings for specifics models.

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Himanshu Agarwal - PeerSpot reviewer
Principal Consultant at a financial services firm with 10,001+ employees

It's easy to deploy. 

It has many features which help the person avoid delving into more technical things. It's more user-friendly from a user point of view.

The solution is stable.

Technical support is helpful.

It's highly scalable. Since it is on the cloud, you can expand the storage, you can expand the RAM, and all those things. The best thing is the scalability.

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LV
Advanced Analytics Lead at a pharma/biotech company with 1,001-5,000 employees

The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps.

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Alexis Bustamante - PeerSpot reviewer
STI Data Leader at grupo gtd

The most valuable feature of Microsoft Azure Machine Learning Studio is the ease of use for starting projects. It's simple to connect and view the results. Additionally, the solution works well with other Microsoft solutions, such as Power Automate or SQL Server. It is easy to use and to connect for analytics.

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Nhan Tran - PeerSpot reviewer
Data & AI expert at a tech services company with 1,001-5,000 employees

I like that it's totally easy to use. They have an AutoML solution, and their machine learning model is highly accurate. They also have a feature that can explain the machine learning model. This makes it easy for me to understand that model.

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YA
Analyst Developer at a government with 5,001-10,000 employees

Their support is helpful.

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OD
Machine Learning Engineer at a tech services company with 1,001-5,000 employees

Azure's AutoML feature is probably better than the competition.

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Pallabi Sarmah - PeerSpot reviewer
Data & AI CoE Managing Consultant at a consultancy with 201-500 employees

The most valuable feature is its compatibility with Tensorflow.

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Buyer's Guide
Microsoft Azure Machine Learning Studio
November 2022
Learn what your peers think about Microsoft Azure Machine Learning Studio. Get advice and tips from experienced pros sharing their opinions. Updated: November 2022.
657,397 professionals have used our research since 2012.