Teaching ML in Compact Courses

DOI

This talk summarizes the experiences made with teaching Machine Learning within compact events that stretch over several days to a week maximum. Both speakers explain pitfalls they were caught in as well as solutions they found.

This talk was given at the Teaching Machine Learning workshop at ECML-PKDD 2020. For more details and information see https://teaching-ml.github.io/2020/

The talk was created in a collaborative fashion on hackmd.io Therefor this contains the final pdf of the slides and the markdown file.

Identifier
DOI https://doi.org/10.14278/rodare.753
Related Identifier https://www.hzdr.de/publications/Publ-32121
Related Identifier https://doi.org/10.14278/rodare.752
Related Identifier https://rodare.hzdr.de/communities/matter
Related Identifier https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:753
Provenance
Creator Fouilloux, Anne ORCID logo; Steinbach, Peter (ORCID: 0000-0002-4974-230X)
Publisher Rodare
Publication Year 2020
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://rodare.hzdr.de/support
Representation
Resource Type Other
Discipline Life Sciences; Natural Sciences; Engineering Sciences