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courses:be4m33ssu [2018/02/11 00:40]
marcimat [Materials]
courses:be4m33ssu [2025/01/03 18:23] (aktuální)
Řádek 18: Řádek 18:
  
  
-===== Materials ​=====+===== Helpful materials ​=====
  
 **Literature** **Literature**
Řádek 27: Řádek 27:
  
 **SVM** **SVM**
 +
 Lecture on SVM on MIT https://​www.youtube.com/​watch?​v=_PwhiWxHK8o Lecture on SVM on MIT https://​www.youtube.com/​watch?​v=_PwhiWxHK8o
 +
 MIT notes: https://​ocw.mit.edu/​courses/​electrical-engineering-and-computer-science/​6-034-artificial-intelligence-fall-2010/​tutorials/​MIT6_034F10_tutor05.pdf MIT notes: https://​ocw.mit.edu/​courses/​electrical-engineering-and-computer-science/​6-034-artificial-intelligence-fall-2010/​tutorials/​MIT6_034F10_tutor05.pdf
  
Řádek 42: Řádek 44:
 VYD lecture slides (course on FEL,CTU) VYD lecture slides (course on FEL,CTU)
 https://​www.youtube.com/​watch?​v=2vh98ful3_M https://​www.youtube.com/​watch?​v=2vh98ful3_M
-EM + gaussian mixture + 
-MIT notes for same topic. But it is useful to understand MLE first.+**EM + gaussian mixture** 
 https://​ocw.mit.edu/​courses/​electrical-engineering-and-computer-science/​6-867-machine-learning-fall-2006/​lecture-notes/​lec15.pdf https://​ocw.mit.edu/​courses/​electrical-engineering-and-computer-science/​6-867-machine-learning-fall-2006/​lecture-notes/​lec15.pdf
  
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