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The RDA Europe-BlueBRIDGE Datathon on Fisheries and Aquaculture


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BlueBRIDGE Blue Datathon Virtual Research Environment

The Blue Datathon VRE can provide seamless access to the evolving wealth of resources (datasets, services, computing) - usually spread across many providers including e-Infrastructures - needed for the Datathon. Description of each service and tool is available in the VRE.

You may find more information about the VRE here:

Weka

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

You may find more information about Weka here:

FreeMat

FreeMat is a free environment for rapid engineering and scientific prototyping and data processing. It is similar to commercial systems such as MATLAB from Mathworks, and IDL from Research Systems, but is Open Source. FreeMat is available under the GPL license.

You may find more information about FreeMat here:

Orange

Orange is a Open source machine learning and data visualization for novice and expert. Interactive data analysis workflows with a large toolbox.

You may find more information about Orange here:

Orange

RapidMiner RapidMiner makes data science teams more productive through a unified platform for data prep, machine learning, and model deployment.

You may find more information about RapidMiner here:

SciKit

SciKit is a Machine Learning framework for Python. With SciKit you can perform common ML tasks such as Classifcation, Regression, Dimensionality Reduction, Clustering, Model selection etc. SciKit is supported by Google and it is free and open source.

You may find more information about SciKit here: