Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • Spaces
  • Events
  • Materials
  • Workflows
  • Collections
  • e-Learning
  • Learning paths
  • Directory
    • Providers
    • Nodes

TeSSHub makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSSHub in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

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 Allow all 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
    • Active learning4
    • Ensembl learning4
    • Kernel methods4
    • Knowledge representation4
    • Machine learning4
    • Neural networks4
    • Recommender system4
    • Reinforcement learning4
    • Supervised learning4
    • Unsupervised learning4
    • Bayesian methods3
    • Biostatistics3
    • Descriptive statistics3
    • Gaussian processes3
    • Inferential statistics3
    • Markov processes3
    • Multivariate statistics3
    • Probabilistic graphical model3
    • Probability3
    • R3
    • R program3
    • R script3
    • Statistics3
    • Statistics and probability3
    • Show N_FILTERS more
    • Content provider
    • Glittr.org7
    • PaN Training2
    • Show N_FILTERS more
    • Keyword
    • hbovpk169
    • CHE86
    • Barrierefreiheit75
    • Verpleegkunde65
    • HBOVPK64
    • gaming64
    • Spiel (Spielen, Spiele)62
    • Behinderung (Behinderungen)61
    • maan kasvukunto57
    • Jukka Rajala53
    • HU51
    • Studiehandleiding50
    • luomu47
    • HSLeiden44
    • R42
    • Zorgverlener40
    • luomutuotanto40
    • Hochschullehre38
    • Digitale Spiele37
    • Medienpädagogik36
    • tietokortit36
    • Digitalisierung35
    • Reflectieve EBP-professional31
    • Digitale Lehre28
    • Teilhabe28
    • ICF27
    • digital games27
    • economics26
    • macro economics26
    • micro economics26
    • Behinderung25
    • Lernen (Lernprozess, Lernvorgang)25
    • Communicator24
    • economic structure24
    • game development24
    • Communicatie23
    • Medienpaket23
    • Klinisch redeneren22
    • Samenwerkingspartner22
    • disability22
    • Hochschuldidaktik21
    • Einführung internes Rechnungswesen20
    • HAN20
    • HSLEIDEN20
    • Rechnungswesen20
    • internes Rechnungswesen20
    • Künstliche Intelligenz19
    • Lehrkräftebildung19
    • Tuomas J. Mattila19
    • KI18
    • OER18
    • Reflexion18
    • accessibility18
    • AI (artificial intelligence)17
    • Lernen17
    • Maaneuvo17
    • fysikaalinen viljavuus17
    • Einfache Sprache16
    • Experimente16
    • Inklusion16
    • Onderwijseenheid16
    • Persoonsgerichte communicatie16
    • informatievaardigheden16
    • AI geletterdheid15
    • Leichte Sprache (Einfache Sprache)15
    • Lerntechnik (Lernmethode, Lerntechniken)15
    • Onderzoekend vermogen15
    • mooc15
    • Aufgaben14
    • Partizipation14
    • Physik14
    • Professional en kwaliteitsbevorderaar14
    • Quadis14
    • digitale geletterdheid14
    • klinisch redeneren14
    • Didaktik13
    • Fortbildung13
    • Gezondheidsbevorderaar13
    • persoonsgerichte communicatie13
    • zorgverlener13
    • Accessibility12
    • Demokratische Bildung (Demokratieförderung, Demokratiebildung)12
    • Heimexperimente12
    • Hochschuldidaktik (Hochschulunterricht, Hochschule)12
    • Lehre12
    • Lernprozesse12
    • Moodle12
    • Organisator12
    • Praktikum12
    • Professionele reflectie12
    • Projektarbeit12
    • Python12
    • Smartphone12
    • ValiDE12
    • communicator12
    • digitale Spiele12
    • kestävä kehitys12
    • ComeMINT11
    • Dynamische Graphiken11
    • Gezond gedrag bevorderen11
    • Show N_FILTERS more
    • Competency level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution Share Alike 4.0 International
    • License Not Specified55
    • MIT License11
    • Creative Commons Attribution 4.0 International6
    • BSD 3-Clause "New" or "Revised" License2
    • Apache License 2.01
    • Do What The F*ck You Want To Public License1
    • Show N_FILTERS more
    • Author
    • Michael Pyrcz2
    • Shawn Rhoads2
    • @UTAustin1
    • Duke Department of Statistical Science1
    • Icahn School of Medicine at Mount Sinai1
    • Introduction to Data Science - 2020 - Semester 11
    • Pablo Casas1
    • posit-conf-20231
    • tidymodels1
    • Show N_FILTERS more
    • Contributor
    • Mine Cetinkaya-Rundel3
    • Michael Pyrcz2
    • Shawn Rhoads2
    • @UTAustin1
    • Alexander Fisher1
    • Amy Herring1
    • Byron1
    • Chip Oglesby1
    • David Robinson1
    • Davis Vaughan1
    • Edgar Ruiz1
    • Emil Hvitfeldt1
    • Frans van Dunné (ixpantia)1
    • Hannah Frick1
    • Icahn School of Medicine at Mount Sinai1
    • Julia Silge1
    • Katie Masiello1
    • Maria Tackett1
    • Max Kuhn1
    • Pablo Casas1
    • Pablo Seibelt1
    • Piklu Mallick1
    • Ryan Johnson1
    • Simon P. Couch1
    • gllg40091
    • Show N_FILTERS more
    • Node
    • Switzerland7
    • 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
  • Harvest using OAI-PMH

Email Subscription

Harvest using OAI-PMH

Exchange content using OAI-PMH

Use an OAI-PMH compatible tool to harvest metadata using the OAI-PMH endpoint. In particular, this endpoint can be used for exchanging content between different TeSS instances. See the TeSS documentation for more details.

Keywords: Data science

and Licence: Creative Commons Attribution Share Alike 4.0 International

and Competency level: Not specified

9 materials found
  • PaN Training

    GeostatsGuy/DataScienceInteractivePython

    Statistics and probability Data science Python Statistics
  • PaN Training

    shawnrhoads/gu-psyc-347

    Machine learning Data science Machine learning Python
  • ELIXIR TeSS

    GeostatsGuy/DataScienceInteractivePython

    ELIXIR node event
    Statistics and probability Data science Python Statistics
  • ELIXIR TeSS

    pablo14/data-science-live-book

    ELIXIR node event
    Machine learning Statistics and probability Data science Statistics Machine learning
  • ELIXIR TeSS

    DukeStatSci/introds

    ELIXIR node event
    R script R Data science
  • ELIXIR TeSS

    ids-s1-20/website

    ELIXIR node event
    R script R Data science
  • ELIXIR TeSS

    posit-conf-2023/ds-workflows-r

    ELIXIR node event
    R script R Data science
  • ELIXIR TeSS

    shawnrhoads/gu-psyc-347

    ELIXIR node event
    Machine learning Data science Machine learning Python
  • ELIXIR TeSS

    tidymodels/workshops

    ELIXIR node event
    Machine learning Machine learning R Data science
Training eSupport System
[email protected]
Contribute
About TeSSHub
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

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