Training eSupport System
  • Log In
    • Log in with UmbrellaID
    • Log in with Helmholtz AAI
    • Login
  • About
  • Events
  • Materials
  • Workflows
  • Collections
  • Learning paths
  • Spaces
  • Directory
    • Providers

PaN-Training 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

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Neural networks
    • Active learning3
    • Ensembl learning3
    • Kernel methods3
    • Knowledge representation3
    • Machine learning3
    • Recommender system3
    • Reinforcement learning3
    • Supervised learning3
    • Unsupervised learning3
    • Data rendering2
    • Data visualisation2
    • Python2
    • Python program2
    • Python script2
    • R2
    • R program2
    • R script2
    • py2
    • Bayesian methods1
    • Biostatistics1
    • Data management1
    • Descriptive statistics1
    • Gaussian processes1
    • Inferential statistics1
    • Markov processes1
    • Metadata management1
    • Multivariate statistics1
    • Probabilistic graphical model1
    • Probability1
    • Research data management (RDM)1
    • SQL1
    • Statistics1
    • Statistics and probability1
    • Structured Query Language1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS3
    • Show N_FILTERS more
    • Keyword
    • R
    • Machine learning12
    • Python12
    • Artificial intelligence4
    • Data science3
    • Statistics2
    • Large language models1
    • Pathways and Networks1
    • Protein structure1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified3
    • Show N_FILTERS more
    • Licence
    • License Not Specified2
    • Creative Commons Attribution Share Alike 4.0 International1
    • Show N_FILTERS more
    • Author
    • @posit-dev1
    • Emil Hvitfeldt1
    • Jose A Dianes1
    • http://mosaic-tx.com1
    • posit::conf(2024)1
    • Show N_FILTERS more
    • Contributor
    • @posit-dev1
    • Emil Hvitfeldt1
    • Jose A Dianes1
    • http://mosaic-tx.com1
    • posit::conf(2024)1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Keywords: R

and User: scraper

and Scientific topics: Neural networks

3 materials found
  • posit-conf-2024/vetiver

    Machine learning Machine learning Python R
  • EmilHvitfeldt/feature-engineering-az

    Machine learning Statistics and probability Data science Machine learning Python R Statistics
  • jadianes/data-science-your-way

    Machine learning Data science Machine learning Python R
Training eSupport System
pan-training@hzdr.de
Imprint
Contribute
About PaN-Training
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation

The training portal for the photon & neutron community is supported through the European Union's Horizon 2020 research and innovation programme, under grant agreement 857641, 823852, the Horizon Europe Framework under grant agreement 101129751, and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.