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didattica:ay2223:kebi:main [2023/05/22 23:34] – [Study material] knutdidattica:ay2223:kebi:main [2024/03/25 16:36] (current) knut
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   * Lecture "Machine Learning"   * Lecture "Machine Learning"
-    * Slides: {{ :didattica:ay2122:ke:ke-11-1_machine_learning.pdf |Introduction to Machine Learning}} +    * Slides: {{ :didattica:ay2223:kebi:ke-11-1_machine_learning.pdf |Introduction to Machine Learning}} 
-    * Slides:  {{ :didattica:ay2122:ke:ke-11-2_learning_decision_trees.pdf |Symbolic Machine Learning: Learning Decision Trees}}+    * Slides:  {{ :didattica:ay2223:kebi:ke-11-2_learning_decision_trees.pdf |Symbolic Machine Learning: Learning Decision Trees}}
     * Reading Material:  {{ :didattica:ay2122:ke:decision_tree_learning_lecture.pdf |Decision Tree Learning}}     * Reading Material:  {{ :didattica:ay2122:ke:decision_tree_learning_lecture.pdf |Decision Tree Learning}}
     * Exercise: {{ :didattica:ay2122:ke:exercise_learning_carsales.pdf |Auto Traders}}     * Exercise: {{ :didattica:ay2122:ke:exercise_learning_carsales.pdf |Auto Traders}}
     * Exercise: {{ :didattica:ay2122:ke:exercise_health_insurance_learning.pdf |Health Insurance: Learning Risk Assessment}}     * Exercise: {{ :didattica:ay2122:ke:exercise_health_insurance_learning.pdf |Health Insurance: Learning Risk Assessment}}
     * Tool: {{ :didattica:ay2122:ke:weka_introduction.pdf |WEKA Learning Environment}}     * Tool: {{ :didattica:ay2122:ke:weka_introduction.pdf |WEKA Learning Environment}}
 +      * [[https://waikato.github.io/weka-wiki/downloading_weka/ | Download WEKA]]
     * Data Sets: {{ :didattica:ay2122:ke:datasets.zip |playing tennis, creditworthyness (CSV Files), car sales and Health Insurance (ARFF and Excel file)}}     * Data Sets: {{ :didattica:ay2122:ke:datasets.zip |playing tennis, creditworthyness (CSV Files), car sales and Health Insurance (ARFF and Excel file)}}
  
   * Lecture "Combining Machine Learning and Knowledge Engineering"   * Lecture "Combining Machine Learning and Knowledge Engineering"
-    * Slides: {{ :didattica:ay2122:ke:ke-13_combining_machine_learning_and_knowledge_engineering.pdf |Combining Machine Learning and Knowledge Engineering}} +    * Slides: {{ :didattica:ay2223:kebi:ke-12_combining_machine_learning_and_knowledge_engineering.pdf |Combining Machine Learning and Knowledge Engineering}} 
-    * Example: {{ :didattica:ay2122:ke:example_machine_learning_and_knowledge.pdf |Machine Learning and Knowledge}} +    * Assignment  with Solution: {{ :didattica:ay2223:kebi:assignment_health_insurance_knowledge_with_solution.pdf |Health Insurance: Combining Learning with Knowledge Engineering}} 
-    * Assignment  with Solution: {{ :didattica:ay2122:ke:assignment_health_insurance_knowledge_with_solution.pdf |Health Insurance: Combining Learning with Knowledge Engineering}}+<html> 
 +<!-- 
 +    * Assignment: {{ :didattica:ay2223:kebi:assignment_health_insurance_knowledge.pdf |Health Insurance: Combining Learning with Knowledge Engineering}}
  
   * Lecture "Case-based Reasoning"   * Lecture "Case-based Reasoning"
-    * Slides: {{ :didattica:ay2122:ke:ke-13_combining_machine_learning_and_knowledge_engineering.pdf |Combining Machine Learning and Knowledge Engineering}} +    * Slides: {{ :didattica:ay2223:kebi:ke-13-cbr.pdf |Case-Based Reasoning}} 
-    * Example: {{ :didattica:ay2122:ke:example_machine_learning_and_knowledge.pdf |Machine Learning and Knowledge}} +    * Assignment: {{ :didattica:ay2223:kebi:assignment_health_insurance_cbr.pdf |Health Insurance CBR}}
-    * Assignment  with Solution: {{ :didattica:ay2122:ke:assignment_health_insurance_knowledge_with_solution.pdf |Health Insurance: Combining Learning with Knowledge Engineering}}+
  
-<html> 
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   * Lecture "Neural Networks"   * Lecture "Neural Networks"
     * Slides: {{ :didattica:ay2122:ke:ke-12_neural_networks.pdf |Neural Networks}}     * Slides: {{ :didattica:ay2122:ke:ke-12_neural_networks.pdf |Neural Networks}}
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 Recordings of the lectures are password protected (passwords on request from the lecturers) Recordings of the lectures are password protected (passwords on request from the lecturers)
   * [[https://unicam.webex.com/unicam/ldr.php?RCID=30d02cd258badb97b224e53931d80a4c | 6th of March 2023: Introduction: What is knowledge]]   * [[https://unicam.webex.com/unicam/ldr.php?RCID=30d02cd258badb97b224e53931d80a4c | 6th of March 2023: Introduction: What is knowledge]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=c2b0eedd6318717c58be8c3397730611 | 8th of March 2022: Knowledge in Processes, Decision Modeling, Decision Trees]]+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=c2b0eedd6318717c58be8c3397730611 | 8th of March 2023: Knowledge in Processes, Decision Modeling, Decision Trees]]
   * [[https://unicam.webex.com/unicam/ldr.php?RCID=4365a13364614ec97440f8e9cd7a18d1 | 20th of March 2023: Rule-Based Systems (Modelling)]]   * [[https://unicam.webex.com/unicam/ldr.php?RCID=4365a13364614ec97440f8e9cd7a18d1 | 20th of March 2023: Rule-Based Systems (Modelling)]]
   * [[https://unicam.webex.com/unicam/ldr.php?RCID=191ea7d36280d7f0486563484a255fba | 21st of March 2023: Rule-Based Systems (Reasoning)]]   * [[https://unicam.webex.com/unicam/ldr.php?RCID=191ea7d36280d7f0486563484a255fba | 21st of March 2023: Rule-Based Systems (Reasoning)]]
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   * [[https://unicam.webex.com/unicam/ldr.php?RCID=a05883840e545b09386cf44bba752949 | 18th of April 2023: Ontology Engineering]]   * [[https://unicam.webex.com/unicam/ldr.php?RCID=a05883840e545b09386cf44bba752949 | 18th of April 2023: Ontology Engineering]]
   * [[https://unicam.webex.com/unicam/ldr.php?RCID=0fc561eed160bc87716c7334c3145271 | 16th of May 2023: Conceptual Modelling]]   * [[https://unicam.webex.com/unicam/ldr.php?RCID=0fc561eed160bc87716c7334c3145271 | 16th of May 2023: Conceptual Modelling]]
 +  * [[https://unicam.webex.com/unicam/ldr.php?RCID=1ed0b7ef97bee84acc30c42695630b10 | 24th of May 2023: Ontology-based Modelling]]
 +  * [[https://unicam.webex.com/unicam/ldr.php?RCID=5d0469e5c75bf22810336b8b2d6c1022 | 30th of May 2023: Machine Learning: Learning Decision Trees; Combining Machine Learning and Knowledge Engineering]]
 +
 <html> <html>
 <!-- <!--
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=c427e2fdd1a30426e8bfddb3dcb49bf6 | 24th of May 2022: Ontology-based Modelling]] 
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=73600d05b8cbc4c0a0f7f5684df9db7a | 30th of May 2022: Machine Learning: Learning Decision Trees]] 
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=8896cf7d81580f92a106d88fed48efad | 31st of May 2022: Neural Networks; Combining Machine Learning and Knowledge Engineering]] 
   *    * 
  
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-This module is examined by a project. The current version of the project description is {{ :didattica:ay2223:kebi:project_personalized_wine_menu_v1.pdf |V1}} (27.03.2023). Please send your project to [[holgererik.wache@unicam.it]]. Deadline for submitting the project is 01.07.2023, 24 o'clock.+This module is examined by a project.  
 + 
 +<html> 
 +<!-- 
 +The current version of the project description is {{ :didattica:ay2223:kebi:project_personalized_wine_menu_v1.pdf |V1}} (27.03.2023). Please send your project to [[holgererik.wache@unicam.it]]. Deadline for submitting the project is 01.07.2023, 24 o'clock
 +--> 
 +</html> 
 + 
 +The current version of the project description is {{ :didattica:ay2223:kebi:project_personalized_wine_menu_v2.pdf |V2}} (06.09.2023). Please send your project to [[holgererik.wache@unicam.it]]. Deadline for submitting the project is Sunday, 08.10.2023, 18:00.
  
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