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    • About the course         

    • Announcements Forum
    • Discussion forum
    • Course description and students obligations 2025/26 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 engineering and representation learning
      6
      Neural networks
      7 Natural language processing
      8 Ensemble learning
       9 Kernel methods
      10 AutoML
      11 Transformers for tabular data and time series
      12 Model explanation and understanding
      13 Reinforcement learning
      14 Agentic systems
      15 Evaluation of intelligent systems

    • Lecture slides 2025/26 (updated continuously) Mapa

    • Exams 

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

    • Lab work (general)

    • Course repository URL

      Link to the code repository

    • Lab work (assignment 1) 

    • IS Seminar 1 2026 Datoteka
      Naloženo 26/10/26, 08:54
    • Seminar 1 files Datoteka
      Naloženo 26/10/26, 08:55
    • Seminar 1 submission 2026 Naloga

    • Lab work (assignment 2) 

    • Additional material                                                                                                                        

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

    • Quizzes                                                                                                                                            

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