Section outline

  • Splošno

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    • About the course         

    • Announcements Forum
    • Discussion forum
    • Course description and students obligations 2023/24 Datoteka

    • Lectures 

    • The course syllabus.

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


    • Lecture slides 2023/24 (updated continuously with 2024/25 edition) Mapa
    • Literature and readings Mapa

    • Exams 

    • Samples of written exams Mapa
    • A sample of oral exam questions Datoteka
      Uploaded 15/01/21, 21:24

    • Lab work (general)

    • Course repository URL

      Link to the code repository

    • Lab work (assignment 1) 

    • Seminar I - Instructions Datoteka
      Uploaded 6/11/24, 10:45
    • Seminar I - datasets Datoteka
      Uploaded 6/11/24, 10:46

    • Lab work (assignment 2) 

    • Additional material                                                                                                                        

    • Data analyist is a top job URL
    • Data science cheatsheet URL
    • Numpy cheat sheet Datoteka
      Uploaded 7/10/24, 12:12
    • Pandas cheat sheet Datoteka
      Uploaded 7/10/24, 12:13

    • Quizzes                                                                                                                                            

    • Quiz 1 Kviz
    • Quiz 2 Kviz
    • Quiz 3 Kviz
    • Quiz 4 Kviz
    • Quiz 5 Kviz