- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Active learning1
- Bayesian methods1
- Biostatistics1
- Descriptive statistics1
- Ensembl learning1
- Gaussian processes1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- Multivariate statistics1
- Neural networks1
- Probabilistic graphical model1
- Probability1
- Recommender system1
- Reinforcement learning1
- Statistics1
- Statistics and probability1
- Supervised learning1
- Unsupervised learning1
- Show N_FILTERS more
-
-
-
Content provider
- Elixir TeSS1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Author
- Emil Hvitfeldt
- SIB Swiss Institute of Bioinformatics2
- @UTAustin1
- @posit-dev1
- @posit-pbc1
- @rstudio @UBC-DSCI @UBC-MDS1
- AstraZeneca1
- Daniel Chen1
- Data Carpentry1
- Data Science in Practice1
- Girls Who Code at U-M DCMB1
- Google1
- Hacking for Science1
- Icahn School of Medicine at Mount Sinai1
- Insee1
- Jake Vanderplas1
- Jose A Dianes1
- Kyran Dale1
- Lino Galiana1
- Max Planck Institute for Astronomy1
- Michael Pyrcz1
- Queen Mary University of London, School of Business and Management1
- Scott Reed1
- Sergio MartÃnez Cuesta1
- Shawn Rhoads1
- The Carpentries Incubator1
- UC Berkeley Data 1001
- UC Berkeley Data 81
- Valentin Danchev1
- Wes McKinney1
- http://mosaic-tx.com1
- rnorm1
- Show N_FILTERS more
-
-
-
Contributor
- @posit-dev1
- Emil Hvitfeldt1
- Show N_FILTERS more
-
- Only show materials from current space
- Show disabled materials
- Show materials with broken links
- Show archived materials
