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1. EXPLORATION AND DEVELOPMENT OF SOIL PREDICTION MODELS WITH GRADIENT-BOOSTED MACHINE LEARNING ALGORITHMS 2. PRELIMINARY FRAMEWORK DEVELOPMENT FOR ASSESSING HIGH IMPACT AND LOW-RISK POTENTIAL MACHINE LEARNING PROJECTS IN THE AEC SECTOR

dc.contributor.advisorHjelseth, Eilif
dc.contributor.authorAlstad, Torkild
dc.date.accessioned2021-09-24T19:21:19Z
dc.date.available2021-09-24T19:21:19Z
dc.date.issued2020
dc.identifierno.ntnu:inspera:60437299:35279104
dc.identifier.urihttps://hdl.handle.net/11250/2782256
dc.descriptionFull text available on 2025-12-31
dc.language
dc.publisherNTNU
dc.title1. EXPLORATION AND DEVELOPMENT OF SOIL PREDICTION MODELS WITH GRADIENT-BOOSTED MACHINE LEARNING ALGORITHMS 2. PRELIMINARY FRAMEWORK DEVELOPMENT FOR ASSESSING HIGH IMPACT AND LOW-RISK POTENTIAL MACHINE LEARNING PROJECTS IN THE AEC SECTOR
dc.typeMaster thesis


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