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The WorldWide Telescope (WWT) project is designed to be an extensible learning and exploration environment which integrates hyperlinked rich media narrative with a seamless multiple survey virtual sky to enable guided and unguided exploration of the universe.
In the first paper presented, Byung-gi Choi et al. (2014) establish the importance of conducting a requirements analysis in order to construct a united framework for developing an open and extensible learning analytics system.
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Results: In the present study, we propose a new modular and extensible machine learning method based on multiple kernels and a support vector machine (SVM) classifier for piRNA identification.
The latter is built upon two technologies – an extended version of the MIT-OKI (Open Knowledge Initiative) which provides an open and extensible architecture for learning technology [47] – and the IMS-ALF (Abstract Learning Framework) which provides an abstract representation of interoperable services and their interfaces [48].
While Hadoop is just a framework for processing data, it provides a very extensible platform that allows for many machine learning projects and applications; the focus of this paper is to present those tools.
Just learning, learning, learning.
It is interactive and extensible, and consists of the parts described as follows: Learn about the command line interpreter: The command line interpreter receives input from the user.
Participants will learn quantum fundamentals including working with quantum algorithms and applications using Qiskit Aqua, an end-to-end, cross-domain, modular and extensible software library that allows classical computer applications to interface with quantum computers.
Learn, learn, learn.
It is designed to provide a fast and extensible scripting interface using the easy-to-learn Python programming language.
These protocols, led by XML (Extensible Markup Language), can be read by many types of machines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com