Materials - PaN Training

Log In

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

Home
Materials

Filter

Sort

Filter Clear filters
- Scientific topic
- Reinforcement learning
- Active learning2
- Ensembl learning2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Neural networks2
- Recommender system2
- Supervised learning2
- Unsupervised learning2
- Show N_FILTERS more
- Content provider
- Elixir TeSS2
- Show N_FILTERS more
- Keyword
- Machine learning2
- Python2
- R1
- Show N_FILTERS more
- Difficulty level
- Not specified2
- Show N_FILTERS more
- Contributor
- posit::conf(2024)2
- Show N_FILTERS more
Only show materials from current space
Show disabled materials
Show 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

Frequency

Register training material

Across all spaces: true

and Scientific topics: Reinforcement learning

and Authors: posit::conf(2024)

2 materials found

posit-conf-2024/ml-python

Machine learning Python
posit-conf-2024/vetiver

Machine learning Python R

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.