Training materials
Keywords: data-driven modeling
and Include archived: true
and Scientific topics: High-performance computing
1 material found
- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- High-performance computing
- Biomathematics1
- Cloud computing1
- Computational biology1
- Computer science1
- Dynamic systems1
- Dynamical systems1
- Dynymical systems theory1
- Graph analytics1
- HPC1
- High performance computing1
- Mathematical biology1
- Mathematics1
- Maths1
- Monte Carlo methods1
- Multivariate analysis1
- Simulation experiment1
- Theoretical biology1
- Show N_FILTERS more
-
-
-
Keyword
- data-driven modeling
- Clinical data7
- RDF6
- Knowledge graph5
- SPARQL4
- EeLP3
- GraphDB3
- Query data3
- eLearning3
- AAI2
- Authentication2
- Data semantics2
- FAIR2
- IAM2
- LOINC2
- Ontology2
- Python2
- SNOMED CT2
- authorisation2
- ATC1
- Bioschemas1
- CHOP1
- Computational modelling1
- Containers1
- DES1
- Data Science1
- Data validation1
- Data visualization1
- HPC1
- ICD1
- Interoperability1
- Linux basics1
- Mark-up1
- Mock data1
- OWL1
- Ontology editing1
- Protegé1
- R1
- RDF graph validation1
- SHACL1
- Standards1
- Triplestore1
- Workflows1
- biostatistics1
- data visualization1
- discrete-event simulation1
- high-performance computing1
- machine learning1
- object-oriented programming1
- Show N_FILTERS more
-
-
-
Difficulty level
- Advanced1
- Show N_FILTERS more
-
-
-
Licence
- MIT License1
- Show N_FILTERS more
-
-
-
Resource type
- API reference1
- Jupyter notebook1
- Tutorial1
- examples1
- Show N_FILTERS more
-
- Show disabled materials
- Hide archived materials