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
    • Machine learning
    • Open science15
    • FAIR data14
    • Findable, accessible, interoperable, reusable data14
    • Data management13
    • Metadata management13
    • Research data management (RDM)13
    • Data mining4
    • Data protection4
    • Pattern recognition4
    • Exomes3
    • Genome annotation3
    • Genomes3
    • Genomics3
    • Personal genomics3
    • Synthetic genomics3
    • Viral genomics3
    • Whole genomes3
    • Active learning2
    • Ensembl learning2
    • Kernel methods2
    • Knowledge representation2
    • Neural networks2
    • Recommender system2
    • Reinforcement learning2
    • Supervised learning2
    • Unsupervised learning2
    • Algorithms1
    • Applied ontology1
    • Bayesian methods1
    • Bioinformatics1
    • Biomedical science1
    • Biomedical sciences1
    • Biostatistics1
    • Bottom-up proteomics1
    • Chromosome walking1
    • Clone verification1
    • Cloud computing1
    • Comparative transcriptomics1
    • Computer programming1
    • Computer science1
    • DNA-Seq1
    • DNase-Seq1
    • Data rendering1
    • Data structures1
    • Data visualisation1
    • Descriptive statistics1
    • Discovery proteomics1
    • Gaussian processes1
    • Gene expression microarray1
    • Genotyping array1
    • HPC1
    • Health science1
    • High performance computing1
    • High throughput sequencing1
    • High-performance computing1
    • High-throughput sequencing1
    • Inferential statistics1
    • Informatics1
    • Information management1
    • Information science1
    • Knowledge management1
    • MS-based targeted proteomics1
    • MS-based untargeted proteomics1
    • Marine biology1
    • Markov processes1
    • Metagenomics1
    • Metaproteomics1
    • Methylation array1
    • MicroRNA array1
    • Microarray experiment1
    • Microarrays1
    • Multichannel microarray1
    • Multivariate statistics1
    • NGS1
    • NGS data analysis1
    • Next gen sequencing1
    • Next generation sequencing1
    • One channel microarray1
    • Ontologies1
    • Ontology1
    • Ontology and terminology1
    • Ontology relations1
    • Panels1
    • Peptide identification1
    • Pipelines1
    • Primer walking1
    • Probabilistic graphical model1
    • Probability1
    • Programming languages1
    • Proprietary platform micoarray1
    • Protein and peptide identification1
    • Proteomics1
    • Quantitative proteomics1
    • RNA chips1
    • RNA microarrays1
    • Rare diseases1
    • Reverse phase protein array1
    • SNP array1
    • Sanger sequencing1
    • Show N_FILTERS more
    • Keyword
    • FAIR principles2
    • HELIOS2
    • Healthcare2
    • HemaFAIR2
    • Federated Learning1
    • Hemoglobinopathies1
    • Semantic Web1
    • Show N_FILTERS more
    • Competency level
    • Beginner2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • Researchers
    • Clinicians2
    • Data Scientist2
    • Data managers2
    • Data stewards2
    • Students2
    • Life Science Researchers1
    • Life scientists with programming skills1
    • Trainers1
    • Training Designers1
    • Training instructors1
    • statisticians1
    • Show N_FILTERS more
    • Author
    • Andra Waagmeester1
    • Francesco Cremonesi1
    • Show N_FILTERS more
    • Contributor
    • Petros Kountouris2
    • Sotiroula Chatzimatthaiou2
    • Show N_FILTERS more
    • Resource type
    • Training materials
    • Lecture2
    • Presentation2
    • Show N_FILTERS more
    • Node
    • Cyprus2
    • France2
    • Show N_FILTERS more
    • Collection
    • HemaFAIR Training: Applying FAIR Principles in Hematology Research2
    • Show N_FILTERS more
    • Status
    • Active2
    • 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: Machine learning

and Target audience: Researchers

and Resource type: Training materials

2 materials found
  • Lecture, Presentation, Training materials

    HemaFAIR Lecture 14 - A Gentle Introduction to Semantic Web

    ELIXIR node event
    • Beginner
    Machine learning Data protection Data mining FAIR principles HemaFAIR HELIOS Semantic Web Healthcare Hemoglobinopathies
  • Lecture, Presentation, Training materials

    HemaFAIR Lecture 13 - A gentle introduction to federated learning

    ELIXIR node event
    • Beginner
    Machine learning Data protection Data mining FAIR principles HemaFAIR HELIOS Federated Learning Healthcare
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.