Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • Bayesian methods1
    • Biostatistics1
    • Descriptive statistics1
    • Gaussian processes1
    • Inferential statistics1
    • Markov processes1
    • Multivariate statistics1
    • Probabilistic graphical model1
    • Probability1
    • Statistics1
    • Statistics and probability1
    • Show N_FILTERS more
    • Tool
    • Galaxy1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training1
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning1
    • Show N_FILTERS more
    • Difficulty level
    • Intermediate
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Students1
    • Show N_FILTERS more
    • Author
    • Fabio Cumbo1
    • Show N_FILTERS more
    • Contributor
    • Daniel Blankenberg
    • Saskia Hiltemann48
    • Björn Grüning43
    • Helena Rasche38
    • Bérénice Batut22
    • Anthony Bretaudeau14
    • Melanie Föll13
    • Simon Bray10
    • Subina Mehta10
    • Cristóbal Gallardo8
    • Nicola Soranzo5
    • Christopher Barnett4
    • Gildas Le Corguillé4
    • Linelle Abueg4
    • Martin Čech4
    • Anton Nekrutenko3
    • Armin Dadras3
    • Mallory Freeberg3
    • Marius van den Beek3
    • Mélanie Petera3
    • Peter van Heusden3
    • Stéphanie Robin3
    • Wolfgang Maier3
    • Alexandre Cormier2
    • Anna Syme2
    • Beatriz Serrano-Solano2
    • Deepti Varshney2
    • Delphine Lariviere2
    • Lucille Delisle2
    • Maria Christina Maniou2
    • Niall Beard2
    • Romane LIBOUBAN2
    • Teresa Müller2
    • Timon Schlegel2
    • Wendi Bacon2
    • William Durand2
    • Adam Taranto1
    • Aurélien F. A. Moumbock1
    • Bert Droesbeke1
    • Catherine Bromhead1
    • Christoph Stritt1
    • Clemens Blank1
    • Dave Clements1
    • Diana Chiang Jurado1
    • Donny Vrins1
    • Erwan Corre1
    • Fabio Cumbo1
    • Felicitas Kindel1
    • Florian Christoph Sigloch1
    • Florian Heyl1
    • Galo A. Goig1
    • Helge Hecht1
    • James Johnson1
    • Jasper Ouwerkerk1
    • Jayadev Joshi1
    • Jonathan Kreplak1
    • José Manuel Domínguez1
    • Kristina Gomoryova1
    • Laura Leroi1
    • Leonid Kostrykin1
    • Maria Doyle1
    • Matej Troják1
    • Matti Hoch1
    • Mehmet Tekman1
    • Melissa Burke1
    • Mira Kuntz1
    • Nate Coraor1
    • Patrick Capon1
    • Pavankumar Videm1
    • Riccardo Massei1
    • Sanjay Kumar Srikakulam1
    • Simon Gladman1
    • TheKharleeci1
    • Thomas Wollmann1
    • Show N_FILTERS more
    • Resource type
    • e-learning1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Difficulty level: Intermediate

and Contributors: Daniel Blankenberg

and Related resources: Associated Training Datasets

1 material found
  • e-learning

    Supervised Learning with Hyperdimensional Computing

    •• intermediate
    Statistics and probability Statistics and machine learning
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.