Data Science and Reliable Machine Learning
| dc.contributor.editor | Hajian, Aram | |
| dc.contributor.editor | Baloian, Nelson | |
| dc.date.accessioned | 2025-01-21T04:26:00Z | |
| dc.date.available | 2025-01-21T04:26:00Z | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2025-01-17T05:30:55Z | |
| dc.identifier | https://library.oapen.org/handle/20.500.12657/97300 | |
| dc.identifier.uri | https://doab-dev.siscern.org/handle/20.500.12854/149333 | |
| dc.description.abstract | In October 2024, researchers, students, and practitioners from Armenia, Chile, Germany, and Japan met at the American University of Armenia for the fourth edition of the Cadassca Workshop on Collaborative Technologies and Data Science in Smart City Applications. This book presents their contributions to emerging methodologies in data science, machine learning, applied and human-centered computing. | |
| dc.language | English | |
| dc.rights | open access | |
| dc.subject.classification | bic Book Industry Communication::U Computing & information technology::UY Computer science | |
| dc.subject.other | Computers | |
| dc.subject.other | Computer Science | |
| dc.title | Data Science and Reliable Machine Learning | |
| dc.type | book | |
| oapen.identifier.doi | 10.30819/5855 | |
| oapen.relation.isPublishedBy | 04b263a1-7fba-4491-9eae-1c394ac42fc3 | |
| oapen.relation.isFundedBy | 969f21b5-ac00-4517-9de2-44973eec6874 | |
| oapen.collection | Knowledge Unlatched (KU) | |
| oapen.imprint | Logos Verlag Berlin | |
| dc.number | a24d23ee-85d1-4296-96e5-494950ab7807 | |
| dc.relationisFundedBy | b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 |
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