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Introduction to Machine Learning - Data Classification

appsOther research productkeyboard_double_arrow_right InteractiveResource , Lecture 01 Jan 2018 France English Publisher:Zenodo
Authors: Fauvel, Mathieu; Chatelain, Florent;

doi: 10.5281/zenodo.1920227 , 10.5281/zenodo.1920226

Introduction to Machine Learning - Data Classification

Abstract

The document main.pdf contains an introductory course on machine learning for classification given by Florent Chatelain and Mathieu Fauvel. Several ipython notebooks are also provided. The last version is available at https://framagit.org/mfauvel/omp_machine_learning

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Keywords

machine learning, classification, [PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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