Azure Machine Learning Studio is an interactive programming tool for predictive analytics. It is a professional tool that lets users easily drag-and-drop objects on the interfaces to create models that can be pushed to the web as services to be utilized by tools like business intelligence systems.
Azure Machine Learning Studio is a platform where data science, predictive analytics, cloud-based tools, and data collide and mix to form an idea and deploy it into an effective model.
With Azure Machine Learning Studio, developers also gain access to APIs that they can infuse into their model for enhanced cognitive algorithms and transformative artificial intelligence.
Show MoreInteractive Platform
Azure Machine Learning Studio is not a run-of-the-mill platform. It makes developing models more fun and much easier with its drag-and-drop function that works on datasets and analysis modules. These movements are used to form experiments that are run in the program. Editing, saving a copy, running, converting, and publishing experiments are also a straightforward process. Because of its visual connections, no heavy programming is required and models are completed at a faster pace.
Shared Solutions
Azure Machine Learning Studio brings together developers from different places in the Cortana Intelligence Gallery. It is a section of the platform where users can share and discover solutions that can be of use to others and to themselves. The community is also where users can query their fellow programmers and where they can work together to arrive at an answer to a problem.
Web Deployment
Models designed within Azure Machine Learning Studio can be pushed straight to the web where it can be accessed by people who can find them beneficial to their own projects. This lets users send data to the model and receive predictions from it, which they can apply to their own processes. However, in case of changes, developers are still able to update published models and manage them through the platform’s web services portal.
AI Access
With Azure Machine Learning Studio, developers have a library of AI algorithms within their reach. They can use these cognitive APIs to enhance their predictive modelling to come up with more accurate results to transform the way they process business intelligence data.
All in the Cloud
Azure Machine Learning Studio is accessible to anyone with an internet connection. There is no need to install programs on devices, which means it can be deployed and utilized on any desktop or laptop computer. This mobility enables users to bring their work with them wherever they go so they can finish projects at their convenience.
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Position of Azure Machine Learning Studio in our main categories:
Azure Machine Learning Studio is one of the top 3 AI Software products
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Azure Machine Learning Studio Pricing Plans:
$0
$9.99/seat/month
Azure Machine Learning Studio Pricing Plans:
Free Trial
Free
$0
Standard
$9.99/seat/month
Azure Machine Learning Studio offers the following enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
Free – $0
Standard – $9.99/seat/month
We know that when you choose to get a AI Software it’s vital not only to see how experts score it in their reviews, but also to check if the actual users and companies that bought these solutions are actually content with the service. That’s why we’ve devised our behavior-based Customer Satisfaction Algorithm™ that aggregates customer reviews, comments and Azure Machine Learning Studio reviews across a broad range of social media sites. The information is then displayed in an easy to digest way indicating how many customers had positive and negative experience with Azure Machine Learning Studio. With that information at your disposal you will be ready to make an informed buying choice that you won’t regret.
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Azure Machine Learning Studio offers APIs for developers’ use. For more information, contact support or get in touch with the community.
Azure Machine Learning Studio average rating:
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ADD A REVIEWThe most favorable review
PROS: Azure was very easy to set up. It didn't take us long before we were able to launch and run it into our workflow. I think it's great that it is loaded with the tools that we need for all our ML needs.
CONS: The only thing that I don't like is that we didn't discover nor implement this sooner. I guess you could say that we were initially intimidated by the idea...
The least favorable review
PROS: It's very easy to use. Its functions are not difficult to learn. We were able to quickly put together prototypes on our first day using this.
CONS: One has to pay a fee to use this.
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Fits seamlessly into our current work process.
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PROS: It is almost second-nature for us now to create the algorithm we need on R and Python first, and then launch them here in Azure. This process makes a lot of sense to our business.
CONS: Right now, Azure does not allow us to retrieve data from salesforce. We have to go through hoops and loops just to be able to do so. One such workaround we have discovered is to first go through SQL Server before linking it to salesforce. It would be nice if we were to have a more straightforward process.
We use this to create models.
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PROS: It's very easy to use. Its functions are not difficult to learn. We were able to quickly put together prototypes on our first day using this.
CONS: One has to pay a fee to use this.
It’s my playground.
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PROS: I think that the best thing about this program is that it does not exclude anyone--it can be used by beginners and specialists alike. It's this type of free-for-all environment that encourages play and experimentation among its users. It's highly customizable, leaving plenty of room for trial and error experimentation. There's plenty of algorithms available here too. One of my favorite features is the Cortana Intelligence Gallery. It promotes people involved in the community to share their solutions with other users. There's Azure Machine Learning too. This one is for transforming boring data into a visually stunning representation of it.
CONS: It's not the easiest thing to understand and work in. You can expect to spend a little extra time in learning it. It's not as affordable as its main competitor too.
Perfect for visualizing and creating prototypes.
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PROS: I love how it translates complex data into more digestible information.
CONS: It has limited integration capabilities.
Review for the free version…
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PROS: I love how there is a free version available. This way, I can experiment with its capabilities without committing to it fully. It's pretty customizable as well. There are plenty of things that you can do with this program.
CONS: It's not the fastest option available because it often lags or freezes. I don't have the option to record the different changes made in the file over time too.
Makes machine learning accessible.
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PROS: Compared to other solutions, this program does not intimidate me at all. The interface is quite simple and the learning curve is virtually nonexistent.
CONS: The problem-solving operations included in my package is quite limited.
Works seamlessly with most programs.
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PROS: I love just how fluid this program is. It works for just about any business that you use it on. Plus, it works perfectly with most MS tools too.
CONS: It's not as robust as other solutions similar to it.
An important instrument to my recent hackathon accolade
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PROS: I love how this works perfectly well with MS Excel. Whenever I need to retrieve reports and data, I can easily pull up the information and view it in Excel. I also think that the program itself is user-centric. It's obvious how it was designed for the complete convenience of its users. The commands are easy to carry out and the coding can be accessed without a problem. The information is presented in a digestible and easy to understand way too.
CONS: It's 100% cloud-based. To run it smoothly, I have to make sure that my connection is stable and secure.
Easy to use and perfect for beginners.
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PROS: This program is beginner-friendly. It's great how I was able to easily create models without prior training of complex coding. I haven't had much trouble getting the scripts I needed too because everything in Azure is properly structured and I had everything I needed within reach.
CONS: Some of the tests that I ran were not as exact as I needed them to be. Running them took quite long too.
Glad we finally dipped our toes in AI.
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PROS: Azure was very easy to set up. It didn't take us long before we were able to launch and run it into our workflow. I think it's great that it is loaded with the tools that we need for all our ML needs.
CONS: The only thing that I don't like is that we didn't discover nor implement this sooner. I guess you could say that we were initially intimidated by the idea...
Fits perfectly into my workflow
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PROS: R and Python are two programs that I heavily use in my work, and I love how these two work seamlessly with Azure. All I need is to inject models into this program and launch them as digestible and well-designed graphics.
CONS: It's not as affordable as I initially hoped it would be. It's slower than its counterpart from Amazon too. It doesn't integrate well with Salesforce as well.
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Fits seamlessly into our current work process.
Read full review >Overall impression
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We use this to create models.
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It’s my playground.
Read full review >Overall impression
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Perfect for visualizing and creating prototypes.
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Review for the free version…
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