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DTSTART;TZID=Europe/Rome:20190614T090000
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SUMMARY:Museo Virtuale Immersivo: Dal riutilizzo dei dati dell'Open Data Challenge Nocera
DESCRIPTION:Nella biblioteca Comunale R.Pucci di Nocera Inferiore (Salerno)\,  viene presentato dal prof. Vittorio Scarano\,  un Museo Virtuale  con gli Open Data. Con il riutilizzo dei dati dell'Open Data Challenge di Nocera\, è possibile accedere ai dati raccolti attraverso l’immersione in un mondo virtuale in 3D. I risultati del progetto saranno presentati a Dubai alla World Conference della Digital Governement Association (DBO.2019)
URL:https://www.isislab.it/event/museo-virtuale-immersivo-dal-riutilizzo-dei-dati-dellopendata-challenge-nocera/
LOCATION:Biblioteca Comunale R.Pucci – Nocera Inferiore\, c.so V. Emanuele 52\, Nocera Inferiore Salerno\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.isislab.it/wp-content/uploads/2019/06/MuseoVirtualeImmersivo-14-06-2019jpg.jpg
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DTSTART;TZID=Europe/Rome:20190614T140000
DTEND;TZID=Europe/Rome:20190614T180000
DTSTAMP:20260917T084713
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UID:1706-1560520800-1560535200@www.isislab.it
SUMMARY:Workshop su "Machine learning in the browser" di Marcus Winter
DESCRIPTION:Aula F5 (Edificio F2)\, Dipartimento di Informatica - Università degli Studi di Salerno \n\n\n\nNell'ambito dello scambio Erasmus con University of Brighton\, verrà tenuto un workshop per studenti\, da Marcus Winter senior lecturer a Brighton. Il workshop è molto pratico con esperienze con il proprio portatile. Accludo una breve descrizione ed un programma più dettagliato.  \n\n\n\nSpeaker: Marcus Winter \n\n\n\nResearch Interests: Human-Centred Machine Learning (HCML) \n\n\n\nWith a background in Human Computer Interaction and Ubiquitous Computing\, Marcus' recent research pivots towards Human-Centred Machine Learning (HCML)\, focusing in particular on ML applications that directly interface with everyday users. Unlike previous research in this field\, which focuses primarily on implicit/indirect interaction with ML systems (e.g. recommender systems\, home automation)\, he is interested in exploring non-expert users' explicit/direct interacting with ML applications\, e.g. to customise a system for a particular context or train it for specific problems. More info at https://edgee.co.uk \n\n\n\nWorkshop: Machine learning in the browser \n\n\n\nThe workshop consists of a presentation\, covering machine learning on edge devices\, and an optional practical part where students build\, train and run a neural network image classifier in the browser.    \n\n\n\nRequirements:  \n\n\n\nComputers\, Web cam\, Chrome browser\, Code editor\n\n\n\nPrerequisites: \n\n\n\nMedium level JavaScript\n\n\n\nLearning outcomes: \n\n\n\n basic understanding of neural network concepts basic understanding of neural network types and applications  ability to build a trainable neural network running in the browser  basic understanding how training data affects predictive capabilities \n\n\n\n\n\n\n\nWorkshop programme - 1Workshop - programme - 2
URL:https://www.isislab.it/event/workshop-su-machine-learning-in-the-browser/
CATEGORIES:Seminari
ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2019/06/Workshop_-Machine-learning-in-the-browser-Marcus-Winter-2.png
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