What is better Microsoft Azure Machine Learning Studio or DataRobot? If you need an efficient Predictive Analysis Software product for your enterprise you should invest time and compare different solutions. It doesn’t have to be tricky, and can be as easy as matching their functionalities in a table like the one below. You will also get a brief idea how each product operates. For example, on this page you can see Microsoft Azure Machine Learning Studio’s overall score of 9.6 and compare it against DataRobot’s score of 8.7; or Microsoft Azure Machine Learning Studio’s user satisfaction level at N/A% versus DataRobot’s 100% satisfaction score.
The assessment can help you spot the pros and cons of each service, and decide which suits you requirements better. Beyond the robust features, the software that is easy to understand and use is always the better choice.
Our team put a lot of effort to review all popular Predictive Analysis Software services offered on the market, but among them these three caught our special attention: Wolfram Mathematica, Microsoft Azure Machine Learning Studio, Sisense.
A cloud-based interactive programming tool for predictive analytics from Microsoft. Azure Machine Learning Studio offers access to Cortana Intelligence Suite and gallery, AI algorithm library, and more. Its easy to use interface utilizes drag and drop actions. Despite being cloud-based, this machine learning solution provides offline access to its users.
In case you are still having second thoughts about which solution will be best for your business it may be a sensible idea to examine each service’s social metrics. Such metrics are quite often a way to see how popular each solution is and how wide is its online presence. For instance, in case of Facebook Microsoft Azure Machine Learning Studio has 539410 likes on their official profile while DataRobot profile is liked by 3269 users.
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