Darwin vs. Microsoft Azure Machine Learning Studio

As of June 2019, Darwin is ranked 29th in Data Science Platforms vs Microsoft Azure Machine Learning Studio which is ranked 4th in Data Science Platforms with 6 reviews. The top reviewer of Microsoft Azure Machine Learning Studio writes "Enables quick creation of models for PoC in predictive analysis, but needs better ensemble modeling". Darwin is most compared with . Microsoft Azure Machine Learning Studio is most compared with Databricks, KNIME and Amazon SageMaker.
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To use MLS is fairly cheap. Even the paid account is something like $20/month, unless you are provisioning large numbers of VMs for a Hadoop cluster. The main MS makes money with this solution is forcing the user to deploy their model on REST API, and being charged each time the API is accessed. There are several pricing tiers for the API. If you do not use the API, then value of MLS is to create rapid experiments ($20/month). The resulting model is not exportable to use, thus you’ll have to recreate the algorithms in either R or Python, which is what I did. MLS results gave me a direction to work with, the actual work is mostly done in R and Python outside of MLS.

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Ranking
29th
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4th
Views
7,379
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6,240
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6
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341
Avg. Rating
7.5
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Also Known As
Azure Machine Learning
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SparkCognition
Microsoft
Overview

SparkCognition builds leading artificial intelligence solutions to advance the most important interests of society. We help customers analyze complex data, empower decision making, and transform human and industrial productivity with award-winning machine learning technology and expert teams focused on defense, IIoT, and finance.

Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.

It has everything you need to create complete predictive analytics solutions in the cloud, from a large algorithm library, to a studio for building models, to an easy way to deploy your model as a web service. Quickly create, test, operationalize, and manage predictive models.

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Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: June 2019.
347,894 professionals have used our research since 2012.
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