Training materials
Scientific topics: Active learning
and Difficulty level: Not specified
and Authors: University of Amsterdam
1 material found
- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Content provider
- Glittr.org1
- Show N_FILTERS more
-
-
-
Keyword
- Machine learning1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified
- Show N_FILTERS more
-
-
-
Licence
- MIT License1
- Show N_FILTERS more
-
-
-
Author
- University of Amsterdam
- carpentries-incubator6
- SIB Swiss Institute of Bioinformatics3
- Fred Hutch Data Science Lab2
- fast.ai2
- posit-conf-20232
- posit::conf(2024)2
- 84.51°1
- @facebook1
- @posit-dev1
- @rstudio1
- Applied Machine Learning for Tabular Data1
- Bradley Boehmke1
- Canadian Bioinformatics Workshops1
- Computational Biology and Bioinformatics at UCLouvain1
- David Dalpiaz1
- Emil Hvitfeldt1
- Galaxy Project1
- Google Cloud1
- Icahn School of Medicine at Mount Sinai1
- Inria1
- Instill AI1
- Jose A Dianes1
- JuliaAcademy1
- Karel Berka1
- Lancaster University1
- Lex Fridman1
- Liquid AI1
- MIT1
- Marian Novotny1
- Maxime Labonne1
- NIAID BCBB1
- Navid Nobani1
- Neuromatch Academy1
- Nicola Rennie1
- Oncodesign1
- PAIR code1
- Pablo Casas1
- Paderborn University - LEA1
- Philip Bowsher1
- Phillip Lippe1
- PickyBinders1
- R. Burke Squires1
- Salvatore Raieli1
- Shawn Rhoads1
- Sven Degroeve1
- UIUC1
- Ujjwal Karn1
- University of Milan-Bicocca1
- Yury Kashnitsky1
- bioinformatics.ca1
- cambiotraining1
- girafe.ai1
- http://mosaic-tx.com1
- mlr-org1
- tidymodels1
- udlbook1
- Show N_FILTERS more
-
- Show archived materials
