Section outline

  • General

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    • About the course         

    • Announcements Forum
    • Discussion forum
    • Course description and students obligations 2025/26 File

    • 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 AutoML
      11 Transformers for tabular data and time series
      12 Model explanation and understanding
      13 Reinforcement learning

    • Lecture slides 2025/26 (updated regularly during the semester) Folder

    • Exams 

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

    • Lab work (general)

    • Course repository URL

      Link to the code repository

    • Zoom link for lab timeslot: Monday 14:00 URL

      Every week, the lab session on Monday at 14:00 will be held on Zoom.

    • Lab work (assignment 1) 

    • Seminar 1 - Instructions File
      Uploaded 12/10/25, 19:52

    • Lab work (assignment 2) 

    • Additional material                                                                                                                        

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

    • Quizzes                                                                                                                                            

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