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Učilnica FRI 25/26
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Učilnica FRI 25/26
홈 캘린더
모두 펼치기 모두 접기
  1. 강의 현황
  2. IntSys
  3. 공통
  4. Lecture slides 2025/26 (updated regularly during the semester)

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

완료 조건
Warning: The slides from the lectures are outlines of the topics covered. Do not consider them as a replacement for the literature.
    • IS 01 Introduction.pdf IS 01 Introduction.pdf
    • IS 02 Nature inspired computation.pdf IS 02 Nature inspired computation.pdf
    • IS 03 Predictive modeling.pdf IS 03 Predictive modeling.pdf
    • IS 03 Predictive modeling.pptx IS 03 Predictive modeling.pptx
    • IS 04 Bias, variance and predictive models.pdf IS 04 Bias, variance and predictive models.pdf
    • IS 04 Bias, variance and predictive models.pptx IS 04 Bias, variance and predictive models.pptx
    • IS 05 Feature engineering.pdf IS 05 Feature engineering.pdf
    • IS 06 Neural networks.pdf IS 06 Neural networks.pdf
    • IS 07 Natural language processing.pdf IS 07 Natural language processing.pdf
    • IS 08 Ensemble methods.pdf IS 08 Ensemble methods.pdf
    • IS 09 Kernel methods.pdf IS 09 Kernel methods.pdf
    • IS 10 Inference and explanation.pdf IS 10 Inference and explanation.pdf
    • IS 11 Reinforcement learning.pdf IS 11 Reinforcement learning.pdf
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