Training materials
Difficulty level: Not specified
and Scientific topics: Data rendering
and Contributors: posit-conf-2023
3 materials found
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Scientific topic
- Data rendering
- R12
- R program12
- R script12
- Data visualisation3
- Active learning2
- Ensembl learning2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Neural networks2
- Recommender system2
- Reinforcement learning2
- Supervised learning2
- Unsupervised learning2
- Bayesian methods1
- Biostatistics1
- Data management1
- Descriptive statistics1
- Gaussian processes1
- Inferential statistics1
- Markov processes1
- Metadata management1
- Multivariate statistics1
- Probabilistic graphical model1
- Probability1
- Research data management (RDM)1
- Statistics1
- Statistics and probability1
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Content provider
- Glittr.org3
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Keyword
- Data visualization3
- R3
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Difficulty level
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Contributor
- posit-conf-2023
- @posit-pbc2
- Bioinformatics, Rockefeller University2
- Teaching materials at the Harvard Chan Bioinformatics Core2
- carpentries-incubator2
- rstudio::conf(2022)2
- @formbio1
- @rstudio1
- A. Solomon Kurz1
- Aditya Dahiya1
- AstraZeneca1
- BioINForm1
- C. Li1
- Carson Sievert1
- Christian Burkhart1
- Claus Wilke1
- Fred Hutch Data Science Lab1
- Genome Informatics Facility1
- Government of Haryana1
- Hadley Wickham1
- Hands-On Data Visualization1
- Joachim Goedhart1
- Kristyna Kupkova1
- Kyran Dale1
- NBIS - National Bioinformatics Infrastructure Sweden1
- NIAID BCBB1
- PAIR code1
- R. Burke Squires1
- Rohan Alexander1
- Sergio Martínez Cuesta1
- Stephen Turner1
- The McDonnell Genome Institute1
- The University of Texas at Austin1
- UW Interactive Data Lab1
- University of Georgia1
- Winston Chang1
- appliedAI Institute gGmbH1
- genomicsclass1
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