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dc.contributor.advisorUddin, Jia
dc.contributor.authorSiaum, Arshif Sharlimin
dc.contributor.authorAmin, Md. Jawad
dc.contributor.authorIslam, Kamrul
dc.date.accessioned2019-02-13T08:33:51Z
dc.date.available2019-02-13T08:33:51Z
dc.date.copyright2018
dc.date.issued2018-12
dc.identifier.otherID 13101063
dc.identifier.otherID 13101045
dc.identifier.otherID 13121013
dc.identifier.urihttp://hdl.handle.net/10361/11411
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.en_US
dc.descriptionIncludes bibliographical references (pages 33-34).
dc.descriptionCataloged from PDF version of thesis.
dc.description.statementofresponsibilityArshif Sharlimin Siaum
dc.description.statementofresponsibilityMd. Jawad Amin
dc.description.statementofresponsibilityKamrul Islam
dc.format.extent34 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectMachine learningen_US
dc.subjectAlumni opportunitiesen_US
dc.subject.lcshMachine learning.
dc.subject.lcshArtificial intelligence.
dc.titleAlumni opportunities using machine learningen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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