Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387335046> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W4387335046 abstract "A set of hands-on activities, that were proposed in an introduction course to machine learning in a Chemical Engineering undergraduate course, are presented. The activities aimed to introduce basic concepts of unsupervised learning (e.g., clustering) and supervised learning (e.g., classification and regression). Google Colaboratory, a cloud service provided by Google for free to promote research in Artificial Intelligence and Machine Learning, was used to develop these activities, but the proposed activities can be run similarly in a local Python environment. The datasets used in the activities are publicly available on websites such as Kaggle and University of California (UCI), and a specific example in chemical engineering for the ore grinding process was also used. The student's response to the ML topic within the course was very positive." @default.
- W4387335046 created "2023-10-05" @default.
- W4387335046 creator A5001012807 @default.
- W4387335046 creator A5040188094 @default.
- W4387335046 creator A5084952129 @default.
- W4387335046 creator A5093000948 @default.
- W4387335046 date "2023-10-01" @default.
- W4387335046 modified "2023-10-06" @default.
- W4387335046 title "Machine Learning in Chemical Engineering: Hands-on Activities" @default.
- W4387335046 cites W2074846552 @default.
- W4387335046 cites W2617716466 @default.
- W4387335046 cites W2893736811 @default.
- W4387335046 cites W2903010511 @default.
- W4387335046 cites W3001522415 @default.
- W4387335046 cites W3128745847 @default.
- W4387335046 cites W3162278734 @default.
- W4387335046 cites W3189264902 @default.
- W4387335046 cites W4205374545 @default.
- W4387335046 cites W4229021765 @default.
- W4387335046 doi "https://doi.org/10.1016/j.ece.2023.09.005" @default.
- W4387335046 hasPublicationYear "2023" @default.
- W4387335046 type Work @default.
- W4387335046 citedByCount "0" @default.
- W4387335046 crossrefType "journal-article" @default.
- W4387335046 hasAuthorship W4387335046A5001012807 @default.
- W4387335046 hasAuthorship W4387335046A5040188094 @default.
- W4387335046 hasAuthorship W4387335046A5084952129 @default.
- W4387335046 hasAuthorship W4387335046A5093000948 @default.
- W4387335046 hasBestOaLocation W43873350461 @default.
- W4387335046 hasConcept C111919701 @default.
- W4387335046 hasConcept C119857082 @default.
- W4387335046 hasConcept C154945302 @default.
- W4387335046 hasConcept C41008148 @default.
- W4387335046 hasConcept C519991488 @default.
- W4387335046 hasConcept C73555534 @default.
- W4387335046 hasConcept C79974875 @default.
- W4387335046 hasConceptScore W4387335046C111919701 @default.
- W4387335046 hasConceptScore W4387335046C119857082 @default.
- W4387335046 hasConceptScore W4387335046C154945302 @default.
- W4387335046 hasConceptScore W4387335046C41008148 @default.
- W4387335046 hasConceptScore W4387335046C519991488 @default.
- W4387335046 hasConceptScore W4387335046C73555534 @default.
- W4387335046 hasConceptScore W4387335046C79974875 @default.
- W4387335046 hasLocation W43873350461 @default.
- W4387335046 hasOpenAccess W4387335046 @default.
- W4387335046 hasPrimaryLocation W43873350461 @default.
- W4387335046 hasRelatedWork W2050869315 @default.
- W4387335046 hasRelatedWork W2327204559 @default.
- W4387335046 hasRelatedWork W2383532021 @default.
- W4387335046 hasRelatedWork W2587671147 @default.
- W4387335046 hasRelatedWork W2961085424 @default.
- W4387335046 hasRelatedWork W3129254793 @default.
- W4387335046 hasRelatedWork W4236262953 @default.
- W4387335046 hasRelatedWork W4306674287 @default.
- W4387335046 hasRelatedWork W4319655854 @default.
- W4387335046 hasRelatedWork W4224009465 @default.
- W4387335046 isParatext "false" @default.
- W4387335046 isRetracted "false" @default.
- W4387335046 workType "article" @default.