Difference between revisions of "Learning Systems (7.5 credits)"
From ISLAB/CAISR
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|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= | + | |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: | ||
+ | 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