- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Active learning1
- Data rendering1
- Data visualisation1
- Ensembl learning1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Neural networks1
- Pipelines1
- Recommender system1
- Reinforcement learning1
- Software integration1
- Supervised learning1
- Tool integration1
- Tool interoperability1
- Unsupervised learning1
- Workflows1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Author
- R. Burke Squires
- posit-conf-20233
- @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
- Anne Fouilloux1
- AstraZeneca1
- BioINForm1
- C. Li1
- Carson Sievert1
- Christian Burkhart1
- Claus Wilke1
- Coline Royaux1
- Fred Hutch Data Science Lab1
- Genome Informatics Facility1
- Government of Haryana1
- Hadley Wickham1
- Hands-On Data Visualization1
- Joachim Goedhart1
- Kristyna Kupkova1
- Kyran Dale1
- Marie Josse1
- Michelle Brazas1
- NBIS - National Bioinformatics Infrastructure Sweden1
- NIAID BCBB1
- PAIR code1
- Pôle National de Données de Biodiversité1
- 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
- Yvan Le Bras1
- appliedAI Institute gGmbH1
- genomicsclass1
- Show N_FILTERS more
-
-
-
Contributor
- NIAID BCBB1
- R. Burke Squires1
- Show N_FILTERS more
-
- Show disabled materials
- Show archived materials
