RNN for Predicting High-End Purchase Intentions in a Multi-Channel Company

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dc.contributor.authorHamberg, Simon
dc.contributor.departmentChalmers tekniska högskola / Institutionen för fysiksv
dc.contributor.departmentChalmers University of Technology / Department of Physicsen
dc.contributor.examinerVolpe, Giovanni
dc.contributor.supervisorVolpe, Giovanni
dc.date.accessioned2024-06-17T05:13:37Z
dc.date.available2024-06-17T05:13:37Z
dc.date.issued2024
dc.date.submitted
dc.identifier.coursecodeTIFX05
dc.identifier.urihttp://hdl.handle.net/20.500.12380/307872
dc.language.isoeng
dc.setspec.uppsokPhysicsChemistryMaths
dc.titleRNN for Predicting High-End Purchase Intentions in a Multi-Channel Company
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeComplex adaptive systems (MPCAS), MSc
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