Lecture

Tools and analysis of big data

Description

This lecture covers tools for managing and analyzing big data in the context of the Human Brain Project. Topics include pairwise displacements computation, optimal placement of stacks, merging of stacks, and saving volumes at different resolutions. It also explores navigating the brain in 3D, automatic cell detection, and challenges in connectomics, emphasizing the massive data generated and the tools required for data acquisition, communication, storage, and visualization.

In MOOCs (2)

Official source

https://mediaspace.epfl.ch/media/0_009io2ie

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Ontological neighbourhood

Computer engineering

Computer data storage: Topics in computer data storage

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