Difference between revisions of "Learning Systems (7.5 credits)"

From ISLAB/CAISR
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|CourseCode=DT8008  
 
|CourseShortDescription=The objective of the course is to provide an overview of machine learning systems for classification, regression, and self-organization, to study basic learning algorithms in detail.
 
|CourseShortDescription=The objective of the course is to provide an overview of machine learning systems for classification, regression, and self-organization, to study basic learning algorithms in detail.
|CourseUrl=http://hh.se/dt8008/
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|CourseUrl=https://www.youtube.com/playlist?list=PLS8J_PRPtGfdnPf9QqT7Itnn2rAHsoWqY
 
|CourseLevel=Advanced
 
|CourseLevel=Advanced
 
|isNativeISlab=true
 
|isNativeISlab=true
 
|SubjectArea=Learning Systems
 
|SubjectArea=Learning Systems
 
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Videos of this course are also available at:
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https://www.youtube.com/playlist?list=PLS8J_PRPtGfdnPf9QqT7Itnn2rAHsoWqY

Latest revision as of 14:16, 11 August 2020

Course Code: DT8008
Short description: The objective of the course is to provide an overview of machine learning systems for classification, regression, and self-organization, to study basic learning algorithms in detail.
Course Level: Advanced
Course page: https://www.youtube.com/playlist?list=PLS8J_PRPtGfdnPf9QqT7Itnn2rAHsoWqY
Teacher from ISlab involved in Learning Systems (7.5 credits): Antanas Verikas, Mohamed-Rafik Bouguelia

Examiner of Learning Systems (7.5 credits): Antanas Verikas, Mohamed-Rafik Bouguelia




Videos of this course are also available at: https://www.youtube.com/playlist?list=PLS8J_PRPtGfdnPf9QqT7Itnn2rAHsoWqY