SmartTensors: Unsupervised Machine Learning | Velimir Vesselinov | JuliaCon2021
This talk was given as part of JuliaCon2021.
Abstract:
Demonstrate SmartTensors (http://tensors.lanl.gov; https://github.com/SmartTensors): a toolbox for unsupervised machine learning based on matrix/tensor factorization constrained by penalties enforcing robustness and interpretability (e.g., nonnegativity; physics and mathematical constraints; etc.). SmartTensors has been applied to analyze diverse datasets related to a wide range of problems: from COVID-19 to wildfires and climate.
For more info on the Julia Programming Language, follow us on Twitter: https://twitter.com/JuliaLanguage and consider sponsoring us on GitHub: https://github.com/sponsors/JuliaLang
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Видео SmartTensors: Unsupervised Machine Learning | Velimir Vesselinov | JuliaCon2021 канала The Julia Programming Language
Abstract:
Demonstrate SmartTensors (http://tensors.lanl.gov; https://github.com/SmartTensors): a toolbox for unsupervised machine learning based on matrix/tensor factorization constrained by penalties enforcing robustness and interpretability (e.g., nonnegativity; physics and mathematical constraints; etc.). SmartTensors has been applied to analyze diverse datasets related to a wide range of problems: from COVID-19 to wildfires and climate.
For more info on the Julia Programming Language, follow us on Twitter: https://twitter.com/JuliaLanguage and consider sponsoring us on GitHub: https://github.com/sponsors/JuliaLang
00:00 Welcome!
00:10 Help us add time stamps for this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/YouTubeVideoTimestamps
Видео SmartTensors: Unsupervised Machine Learning | Velimir Vesselinov | JuliaCon2021 канала The Julia Programming Language
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29 июля 2021 г. 20:34:46
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