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

    • Scientific topic
    • Bayesian methods
    • Python68
    • Python program68
    • Python script68
    • py68
    • FAIR data42
    • Findable, accessible, interoperable, reusable data42
    • Data management27
    • Metadata management27
    • Research data management (RDM)27
    • Active learning18
    • Ensembl learning18
    • Kernel methods18
    • Knowledge representation18
    • Machine learning18
    • Neural networks18
    • Recommender system18
    • Reinforcement learning18
    • Supervised learning18
    • Unsupervised learning18
    • Biostatistics9
    • Data rendering9
    • Data visualisation9
    • Descriptive statistics9
    • Gaussian processes9
    • Inferential statistics9
    • Markov processes9
    • Multivariate statistics9
    • Probabilistic graphical model9
    • Probability9
    • Statistics9
    • Statistics and probability9
    • MicroRNA sequencing8
    • RNA sequencing8
    • RNA-Seq8
    • RNA-Seq analysis8
    • Small RNA sequencing8
    • Small RNA-Seq8
    • Small-Seq8
    • Transcriptome profiling8
    • WTSS8
    • Whole transcriptome shotgun sequencing8
    • miRNA-seq8
    • Comparative transcriptomics7
    • Transcriptome7
    • Transcriptomics7
    • R6
    • R program6
    • R script6
    • Chromosome walking5
    • Clone verification5
    • DNA-Seq5
    • DNase-Seq5
    • High throughput sequencing5
    • High-throughput sequencing5
    • NGS5
    • NGS data analysis5
    • Next gen sequencing5
    • Next generation sequencing5
    • Panels5
    • Primer walking5
    • Sanger sequencing5
    • Sequencing5
    • Single-cell genomics5
    • Single-cell sequencing5
    • Targeted next-generation sequencing panels5
    • Exomes3
    • Genome annotation3
    • Genomes3
    • Genomics3
    • Personal genomics3
    • Synthetic genomics3
    • Viral genomics3
    • Whole genomes3
    • Bioinformatics2
    • Image analysis2
    • Pipelines2
    • Software integration2
    • Tool integration2
    • Tool interoperability2
    • Workflows2
    • Antimicrobial stewardship1
    • Biodiversity1
    • Bioimaging1
    • Biological imaging1
    • Bottom-up proteomics1
    • Cloud computing1
    • Computer science1
    • Data mining1
    • Discovery proteomics1
    • Enrichment1
    • Enrichment analysis1
    • Functional enrichment1
    • Genes1
    • Genetics1
    • Genotype1
    • Genotype and phenotype1
    • Genotype and phenotype resources1
    • Genotype-phenotype1
    • Genotype-phenotype analysis1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS9
    • Show N_FILTERS more
    • Keyword
    • Python9
    • Statistics9
    • R4
    • Data science2
    • Machine learning2
    • Artificial intelligence1
    • Pathways and Networks1
    • Unix/Linux1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • MIT License3
    • Creative Commons Attribution 4.0 International2
    • License Not Specified2
    • Creative Commons Attribution Share Alike 4.0 International1
    • GNU General Public License v3.0 only1
    • Show N_FILTERS more
    • Author
    • Allen Downey2
    • PyMC Labs2
    • @UTAustin1
    • @posit-dev1
    • Emil Hvitfeldt1
    • Michael Pyrcz1
    • Neuromatch Academy1
    • SIB Swiss Institute of Bioinformatics1
    • Sébastien Wieckowski1
    • cambiotraining1
    • second scight1
    • Show N_FILTERS more
    • Contributor
    • Allen Downey2
    • PyMC Labs2
    • @UTAustin1
    • @posit-dev1
    • Emil Hvitfeldt1
    • Michael Pyrcz1
    • Neuromatch Academy1
    • SIB Swiss Institute of Bioinformatics1
    • Sébastien Wieckowski1
    • cambiotraining1
    • second scight1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide materials with broken links
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Difficulty level: Not specified

and Include broken links: true

and Scientific topics: Bayesian methods

9 materials found
  • NeuromatchAcademy/course-content

    Machine learning Statistics and probability Pathway or network Artificial intelligence Pathways and Networks Python Statistics
  • GeostatsGuy/DataScienceInteractivePython

    Statistics and probability Data science Python Statistics
  • EmilHvitfeldt/feature-engineering-az

    Machine learning Statistics and probability Data science Python R Statistics
  • harvardinformatics/learning-bioinformatics-at-home

    R script Statistics and probability Python R Statistics Unix/Linux
  • cambiotraining/corestats

    Statistics and probability Python R Statistics
  • AllenDowney/ThinkStats2

    Statistics and probability Python Statistics
  • AllenDowney/ThinkBayes

    Statistics and probability Python Statistics
  • sbwiecko/intuitive_biostatistics

    Statistics and probability Python R Statistics
  • sib-swiss/introduction-to-statistics-with-python-training

    Statistics and probability Python Statistics
Training eSupport System
pan-training@hzdr.de
Imprint
Contribute
About PaN-Training
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.