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

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS 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
    • Kernel methods
    • Data management9
    • Metadata management9
    • Research data management (RDM)9
    • FAIR data7
    • Findable, accessible, interoperable, reusable data7
    • R6
    • R program6
    • R script6
    • Python5
    • Python program5
    • Python script5
    • py5
    • Chromosome walking4
    • Clone verification4
    • DNA-Seq4
    • DNase-Seq4
    • High throughput sequencing4
    • High-throughput sequencing4
    • NGS4
    • NGS data analysis4
    • Next gen sequencing4
    • Next generation sequencing4
    • Panels4
    • Primer walking4
    • Sanger sequencing4
    • Sequencing4
    • Targeted next-generation sequencing panels4
    • Exomes3
    • Genome annotation3
    • Genomes3
    • Genomics3
    • Metagenomics3
    • Personal genomics3
    • Shotgun metagenomics3
    • Synthetic genomics3
    • Viral genomics3
    • Whole genomes3
    • Active learning2
    • Ensembl learning2
    • Knowledge representation2
    • Machine learning2
    • Neural networks2
    • Recommender system2
    • Reinforcement learning2
    • Supervised learning2
    • Unsupervised learning2
    • Bayesian methods1
    • Biostatistics1
    • Breakend assembly1
    • CWL1
    • Cloud computing1
    • Common Workflow Language1
    • CommonWL1
    • Computer science1
    • Descriptive statistics1
    • Gaussian processes1
    • Genome assembly1
    • Genomic assembly1
    • HPC1
    • High performance computing1
    • High-performance computing1
    • Inferential statistics1
    • Markov processes1
    • Multivariate statistics1
    • Pipelines1
    • Probabilistic graphical model1
    • Probability1
    • Sequence assembly (genome assembly)1
    • Software integration1
    • Statistics1
    • Statistics and probability1
    • Tool integration1
    • Tool interoperability1
    • Variant pattern analysis1
    • Workflows1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org2
    • Show N_FILTERS more
    • Keyword
    • Machine learning2
    • Statistics1
    • Show N_FILTERS more
    • Competency level
    • Not specified2
    • Show N_FILTERS more
    • Licence
    • License Not Specified2
    • Show N_FILTERS more
    • Author
    • The Carpentries Incubator2
    • Show N_FILTERS more
    • Contributor
    • Sarah Brown
    • Julia Silge5
    • Emil Hvitfeldt4
    • Mine Cetinkaya-Rundel4
    • Pietro Monticone4
    • Wandrille D.4
    • Benson Muite3
    • Kenneth Hoste3
    • Toby Hodges3
    • Abby Cabunoc Mayes2
    • Alex Whan2
    • Allen Lee2
    • Ana Conrado2
    • Andrew Sanchez2
    • Andy Boughton2
    • Anthony Gitter2
    • Bradley Boehmke2
    • Brandon Curtis2
    • Canadian Bioinformatics Workshops2
    • Candace Savonen2
    • Carrie Wright2
    • Christopher Endemann2
    • Colin Sauze2
    • David Mawdsley2
    • David Pérez-Suárez2
    • Elizabeth Humphries2
    • Erin Becker2
    • EvanWill2
    • François Michonneau2
    • Gabriel A. Devenyi2
    • Gerard Capes2
    • Greg Wilson2
    • Ian Lee2
    • Isabel Zimmerman2
    • James Allen2
    • Jeff Oliver2
    • Jemma Stachelek2
    • Jeremy Howard2
    • Joel Nothman2
    • Jon Pipitone2
    • Jonah Duckles2
    • K.E. Koziar2
    • Katie Anne Mills2
    • Katrin Leinweber2
    • Maxim Belkin2
    • Michael Hansen2
    • Michael R. Crusoe2
    • Nick Young2
    • Peter Steinbach2
    • Petros Kountouris2
    • Piotr Banaszkiewicz2
    • Przemysław Biecek2
    • Raniere Silva2
    • Rayna M Harris2
    • Remi Rampin2
    • Ritobrata Ghosh2
    • Rémi Emonet2
    • Sotiroula Chatzimatthaiou2
    • Stephan Druskat2
    • Tracy Teal2
    • W. Trevor King2
    • William L. Close2
    • Zhian N. Kamvar2
    • actions-user2
    • ava 🌱2
    • jhudsl-robot2
    • maneesha2
    • naught1012
    • rellum-sukram2
    • trk2
    • vanduttran2
    • A. A. Noman Ansary1
    • ACCakut1
    • Aaditya1
    • Aalok Varma1
    • Abraham Omorogbe1
    • Adam Fleischhacker1
    • Adam Pearce1
    • Adejumo Ridwan Suleiman1
    • Adnan Siddiqui1
    • Alan O'Callaghan1
    • Alden Conner1
    • Aleksandra Nenadic1
    • Alessio Sclocco1
    • Alex Coleman1
    • Alex Dadukin1
    • Alexander Botzki1
    • Alexander Pico1
    • Alexander Timans1
    • Alexandre Boucaud1
    • AliAbdelwanis1
    • Alish Dipani1
    • Aman Desai1
    • Anders Riutta1
    • Andreas Bender1
    • Andrew Reid1
    • Andy Coenen1
    • Aniruddha Saha1
    • Ann Kennedy1
    • Annajiat Alim Rasel1
    • Show N_FILTERS more
    • Node
    • Switzerland2
    • 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

Scientific topics: Kernel methods

and Contributors: Sarah Brown

2 materials found
  • carpentries-incubator/machine-learning-novice-python

    ELIXIR node event
    Machine learning Statistics and probability Machine learning Statistics
  • carpentries-incubator/ml4bio-workshop

    ELIXIR node event
    Machine learning Machine learning
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
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.