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Microsoft Azure Machine Learning Studio Pros

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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CS
Owner at Channing Stowell Associates
The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout.
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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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Buyer's Guide
Microsoft Azure Machine Learning Studio
September 2022
Learn what your peers think about Microsoft Azure Machine Learning Studio. Get advice and tips from experienced pros sharing their opinions. Updated: September 2022.
633,572 professionals have used our research since 2012.
SD
Business transformation advisor/Enterprise Architect at a tech services company with 51-200 employees
It's a great option if you are fairly new and don't want to write too much code.
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EC
student at a university with 201-500 employees
The initial setup is very simple and straightforward.
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MD
Head Of Analytics Platforms and Architecture at a consumer goods company with 10,001+ employees
The solution is very easy to use, so far as our data scientists are concerned.
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Ariful Mondal - PeerSpot reviewer
Consulting Practice Partner - Data, Analytics & AI at FH
It's good for citizen data scientists, but also, other people can use Python or .NET code.
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Rishi Verma - PeerSpot reviewer
Practice Director at Birlasoft IndiaLtd.
Auto email and studio are great features.
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JD
Full stack Data Analyst at a tech services company with 10,001+ employees
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.
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Himanshu Agarwal - PeerSpot reviewer
Principal Consultant at a financial services firm with 10,001+ employees
It's easy to deploy.
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Microsoft Azure Machine Learning Studio Cons

N Kumar - PeerSpot reviewer
Associate Director Of Technology at a tech vendor with 10,001+ employees
As for the areas for improvement in Microsoft Azure Machine Learning Studio, I've provided feedback to Microsoft. My company is a Gold Partner of Microsoft, so I provided my feedback in another forum. Right now, it is the number of algorithms available in the designer that has to be improved, though I'm sure Microsoft does it regularly. When you take a use case approach, Microsoft has done that in a lot of places, but not on the Microsoft Azure Machine Learning Studio designer. When I say use case basis, I meant recommending a product or recommending similar products, so if Microsoft can list out use cases and give me a template, it will save me a lot of time and a lot of work because I don't have to scratch my head on which algorithm is better, and I can go with what's recommended by Microsoft. I'm sure that isn't a big task for the Microsoft team who must have seen thousands of use cases already, so out of that experience if the team can come up with a standard template, I'm sure it'll help a lot of organizations cut down on the development time, as well as going with the best industry-standard algorithms rather than experimenting with mine. What I'd like to see in the next version of Microsoft Azure Machine Learning Studio, apart from the use case template, is the improvement of the availability of libraries. Microsoft should also upgrade the Python versions because the old version of Python is still supported and it takes time for Microsoft to upgrade the support for Python. The pace of upgrading Python versions of Microsoft Azure Machine Learning Studio and making those libraries available should be sped up or increased.
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CS
Owner at Channing Stowell Associates
In terms of improvement, I'd like to have more ability to construct and understand the detailed impact of the variables on the model. Their algorithms are very powerful and they explain overall the net contribution of each of the variables to the solution. In terms of being able to say to people "If you did this, you'll get this much more improvement" it wasn't great.
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Mahendra Prajapati - PeerSpot reviewer
Senior Data Analytics at a media company with 1,001-5,000 employees
Microsoft Azure Machine Learning Studio worked okay for me, so right now, I don't have any room for improvement in mind for it. What I'd like added to Microsoft Azure Machine Learning Studio in its next version is a categorization for use cases or a template that makes the use cases simple to map out, for example, for healthcare, medical, or finance use cases, etc. This would be very helpful for users of Microsoft Azure Machine Learning Studio, especially for beginners.
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Buyer's Guide
Microsoft Azure Machine Learning Studio
September 2022
Learn what your peers think about Microsoft Azure Machine Learning Studio. Get advice and tips from experienced pros sharing their opinions. Updated: September 2022.
633,572 professionals have used our research since 2012.
SD
Business transformation advisor/Enterprise Architect at a tech services company with 51-200 employees
The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team.
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EC
student at a university with 201-500 employees
It would be nice if the product offered more accessibility in general.
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MD
Head Of Analytics Platforms and Architecture at a consumer goods company with 10,001+ employees
There should be data access security, a role level security. Right now, they don't offer this.
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Ariful Mondal - PeerSpot reviewer
Consulting Practice Partner - Data, Analytics & AI at FH
They should have a desktop version to work on the platform.
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Rishi Verma - PeerSpot reviewer
Practice Director at Birlasoft IndiaLtd.
Using the solution requires some specific learning which can take some time.
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JD
Full stack Data Analyst at a tech services company with 10,001+ employees
I have found Databricks is a better solution because it has a lot of different cluster choices and better integration with MLflow, which is much easier to handle in a machine learning system.
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Himanshu Agarwal - PeerSpot reviewer
Principal Consultant at a financial services firm with 10,001+ employees
Technical support could improve their turnaround time.
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Buyer's Guide
Microsoft Azure Machine Learning Studio
September 2022
Learn what your peers think about Microsoft Azure Machine Learning Studio. Get advice and tips from experienced pros sharing their opinions. Updated: September 2022.
633,572 professionals have used our research since 2012.