Intelligent Systems

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  • Select activity About the course

    About the course         
    

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  • Select activity Course description and students obligations 2025/26

    

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  • Select activity Lectures

    Lectures 
    

  • Select activity The course syllabus. Topic Lectures 1 Syllabus and...

    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

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

    

    Lecture slides 2025/26 (updated regularly during the semester) 폴더
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  • Select activity A sample of oral exam questions

    

    A sample of oral exam questions 파일

    2021/01/15 21:24 업로드됨
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    Lab work (general)
    

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    Course repository URL

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  • Select activity Zoom link for lab timeslot: Monday 14:00

    

    Zoom link for lab timeslot: Monday 14:00 URL

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

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    Lab work (assignment 1) 
    

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    Seminar 1 submission 과제
  • Select activity Seminar 1 - Instructions

    

    Seminar 1 - Instructions 파일

    2025/10/12 19:52 업로드됨
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    Lab work (assignment 2) 
    

  • Select activity Additional material     &...

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  • Select activity Data analyist is a top job

    

    Data analyist is a top job URL
  • Select activity Data science cheatsheet

    

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  • Select activity Numpy cheat sheet

    

    Numpy cheat sheet 파일

    2024/10/7 12:12 업로드됨
  • Select activity Pandas cheat sheet

    

    Pandas cheat sheet 파일

    2024/10/7 12:13 업로드됨
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