File:EsLibre2020 18V.P1.08 - David Arroyo Menéndez - Damegender.webm

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Original file(WebM audio/video file, VP9/Opus, length 24 min 19 s, 1,280 × 720 pixels, 757 kbps overall, file size: 131.76 MB)

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Español: [esLibre 2020] Viernes 18 - Pista I

Título: "Damegender"

Ponente: David Arroyo Menéndez

Doing the Phd in the URJC. He starts to participate in research groups with e-learning publications at UNED, while he is doing the degree in Computing Science. Later, he was working in the private companies in the web programming area. After of this, he starts master studies in the UCM to understand the methods in the sociology. Later, he decides starts the Phd with Jesús González Barahona by the ethical compromise with the Free Software and the scientific interest measuring the phenomenon with specialization in the gender matters.

Resumen:

This talk show you how to install the software, detect gender from names from different sources and acquire mathematical resources to compare methods (accuracies, confusion matrix…)

Who want to explain in detail the machine learning task about gender detection as example of use for scikit and nltk. Very popular libraries for artificial intelligence in Python.

Más información: https://propuestas.eslib.re/2020/charlas/damegender

Programa completo del congreso: https://eslib.re/2020/programa/
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Author Congreso esLibre

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Date/TimeThumbnailDimensionsUserComment
current14:29, 24 November 202024 min 19 s, 1,280 × 720 (131.76 MB)Eslibre (talk | contribs)Uploaded own work with UploadWizard

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Format Bitrate Download Status Encode time
VP9 720P Not ready Unknown status
Streaming 720p (VP9) 461 kbps Completed 14:09, 18 March 2024 14 min 37 s
VP9 480P Not ready Unknown status
Streaming 480p (VP9) 185 kbps Completed 21:21, 6 February 2024 9 min 40 s
VP9 360P Not ready Unknown status
Streaming 360p (VP9) 82 kbps Completed 20:32, 12 March 2024 8 min 18 s
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Streaming 240p (VP9) 42 kbps Completed 22:47, 20 December 2023 2 min 45 s
WebM 360P 394 kbps Completed 08:26, 30 November 2023 6 min 2 s
Streaming 144p (MJPEG) 835 kbps Completed 09:06, 10 November 2023 48 s
Stereo (Opus) 86 kbps Completed 16:07, 22 November 2023 26 s
Stereo (MP3) 128 kbps Completed 13:35, 2 November 2023 42 s

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