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.advisor | Hjelseth, Eilif | |
dc.contributor.author | Alstad, Torkild | |
dc.date.accessioned | 2021-09-24T19:21:19Z | |
dc.date.available | 2021-09-24T19:21:19Z | |
dc.date.issued | 2020 | |
dc.identifier | no.ntnu:inspera:60437299:35279104 | |
dc.identifier.uri | https://hdl.handle.net/11250/2782256 | |
dc.description | Full text available on 2025-12-31 | |
dc.language | ||
dc.publisher | NTNU | |
dc.title | 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.type | Master thesis |
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