RapidMiner boasts that it offers more than 1,500 machine learning and data prep functions, and it supports more than 40 files types, including SAS, ARFF, Stata and via URL.
The platform supports all major open source data science formats and provides more than 60 connectors to manage structured, unstructured and various forms of big data. RapidMiner approaches data science and machine learning from a holistic perspective and offers numerous tools to tackle myriad tasks. Both Gartner and Forrester rank RapidMiner as a “Leader.” The vendor also earned a Gartner Customer’s Choice 2018 award. The solution also supports split and cross-validation methods that improve the accuracy of predictive models. This produces a fast classification and regression analysis system for both supervised and unsupervised learning. This includes hundreds of components encompassing machine learning, text analytics, predictive modeling, automation and process control. It offers pre-defined machine learning libraries but also incorporates numerous third-party libraries. RapidMiner uses a unified interface to manage various tasks though a graphical drag-and-drop approach. For businesses looking for a robust, expansive ML toolset, RapidMiner bears exploring. It aids organizations in exploring, blending and cleansing data, designing and refining predictive models through machine learning and managing deployments. Also, SHJ does not have any tie to the makers of RapidMiner.RapidMiner may not have the name recognition of AWS or Google, but it is a comprehensive data science platform.
RAPIDMINER STUDIO VS SERVER SOFTWARE
Users are expected to apply the usual due diligence when using any software and are advised to read any agreements and terms closely. This article does not suggest any sort of formal or informal university endorsement. NOTE (from SHJ): This article shares general information about RapidMiner, Inc.’s academic licensure. NOTE (from Steve Farr): These licenses are not available for funded research, which may receive discounted licenses, upon application. By pushing analytic instructions to Hadoop and Spark, RapidMiner offers a cost-effective and simple to implement method of having students working with these exciting technologies quickly. RapidMiner Radoop offers the ability to create, execute and operationalize analytics workflows on Hadoop Clusters. This allows for the rapid creation of ‘real-world’ examples where predictive analytics is surfaced to third party applications, web sites etc. RapidMiner Server allows you to share and re-use predictive models across groups of peers or student classes and to operationalize the results of Studio processes you have built. RapidMiner Studio offers over 700 data preparation functions and over 150 Machine Learning models as well as support for R and Python, all in a code-free graphical environment.
RAPIDMINER STUDIO VS SERVER PROFESSIONAL
RapidMiner has expanded its Academic Licensing options to include free versions of RapidMiner Studio, Server and Radoop for educators teaching at academic or professional organizations. NOTE: These licenses are not available for funded research, which may receive discounted licenses, upon application.Ģ) Kansas State University Academic staff More information on the RapidMiner Educational Program can be found here.
Support is offered through the RapidMiner Community. Getting Started materials are available here. RapidMiner Server allows you to share and re-use predictive models and to operationalize the results of Studio processes you have built. RapidMiner has expanded its Academic Licensing options to include free versions of RapidMiner Studio, Server and Radoop for all students. Steve Farr Communities Director at RapidMiner, shared the following information.įree Licenses for all RapidMiner products: Machine Learning without coding. The creators of RapidMiner are offering free licenses to their software tool to all faculty and students at Kansas State University.
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