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Python and scikit-learn for HPC (PTC course)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10248909" target="_blank" >RIV/61989100:27740/21:10248909 - isvavai.cz</a>

  • Result on the web

    <a href="https://events.it4i.cz/event/113/" target="_blank" >https://events.it4i.cz/event/113/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Python and scikit-learn for HPC (PTC course)

  • Original language description

    Data Science, Machine Learning, and Big Data are predominantly driven by Python. This one day course provided an insight into the most common Python extensions used to manage large data sets with Pandas, run distributed computations on HPC clusters with Dask, and leverage classical Machine Learning with scikit-learn.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů