Tedenski povzetek

  • Splošno

    • About the course                                                                                                                                            

    • Lectures                                                                                                                                                 

    • The course syllabus.

      Topic
      		 Lectures
      1
      		 Syllabus and obligations
      2 Nature inspired computation, genetic algorithms
      3
      		 Predictive modeling
      4 Bias and variance
      5
      		 Feature evaluation and selection
      6
      		 Ensemble learning
      7
      		 Kernel methods
      8
      		 Neural networks
       9 Natural language processing
      10
      		 Model explanation methods
      11
      		 Reinforcement learning


    • Exams                                                                                                                                                    

    • Exam dates:
      20 January 2023 at 13:00 in PA
      01 February 2023 at 10:00 in PA
      28 August 2023

    • Lab work (general)                                                                                                                           

    • Lab work (assignment 1)                                                                                                                  

    • Lab work (assignment 2)                                                                                                                

    • Lab work (Assignment 3)                                                                                                             

    • Additional material                                                                                                                        

    • Quizzes                                                                                                                                            

  • 3. Oktober - 7. Oktober


    • Practical sessions start the 2nd week of the semester.

  • 26. December - 30. December

     We wish you a Merry Christmas and a Happy New Year!