1. DSpace at My University
  2. Previous Year Question Papers
  3. B.Tech All Branches
  4. Semester-8
  5. 2023-2024
Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1437
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAKTU-
dc.date.accessioned2025-10-06T09:30:45Z-
dc.date.available2025-10-06T09:30:45Z-
dc.date.issued2024-06-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1437-
dc.descriptionB.TECH. (COMPUTER SCIENCE AND ENGINEERING/ CS) VIII SEMESTER -ELECTIVE-5en_US
dc.language.isoen_USen_US
dc.publisherAKTUen_US
dc.subjectRCS080 B.TECH. (COMPUTER SCIENCE AND ENGINEERING/ CS) VIII SEMESTER -ELECTIVE-5en_US
dc.subjectLEARNING PARADIGMS (SUPERVISED, UNSUPERVISED, REINFORCEMENT), CORE CONCEPTS (CLASSIFICATION, REGRESSION, CLUSTERING), COMMON ALGORITHMS (LIKE DECISION TREES, KNN, SVM), AND ESSENTIAL TECHNIQUES (NEURAL NETWORKS, DEEP LEARNING, HYPER PARAMETER TUNING, OVER FITTING)en_US
dc.titleRCS080 MACHINE LEARNINGen_US
dc.title.alternativeRCS080 B.TECH. (COMPUTER SCIENCE AND ENGINEERING/ CS) VIII SEMESTER -ELECTIVE-5en_US
dc.typeOtheren_US
Appears in Collections:2023-2024

Files in This Item:
File Description SizeFormat 
RCS080 MACHINE LEARNING.pdfRCS080 B.TECH. (COMPUTER SCIENCE AND ENGINEERING/ CS) VIII SEMESTER -ELECTIVE-5141.24 kBAdobe PDFDownload
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.