Neyron tarmoqlarini birinchi marta

Matlabda P(Y|X) ehtimollik zichigi formulasi ekan.

50.MatLab muhitida 1/0 operatsiyasining natijasi qanday?

J 1 : INF

J 2 :1/0 gives infinite –Inf.cheksizlik.

51.MatLab muhitida 0/0 operatsiyasining natijasi qanday?

J 1 : NAN

J 2 : 0/0 or Inf-Inf gives NanN-(not-a-number).

52.MatLab muhitida Inf-Inf operatsiyasining natijasi qanday?

J: Inf=-Inf gives NaN-(not-a-number).

53.MATLAB-dagi buyruq nuqta-vergul (;) bilan tugasa nima bo'ladi?

J: natija ko`rsatilmaydi. the result will not be displayed.

Buyruqni workpasega yuklanadi

54.Mashinali o'qitish modellarining 2 turi qanday?

J 1 : O`qtuvchili va o`qtuvchisiz

J 2 : NoLinear models

• 
  Logistic regression
  
• 
  Support vector machines
  

Nonlinear models

• 
  K-Nearest Neighbors (KNN)
  
• 
  Kernel Support Vector Machines (SVM)
  
• 
  Naïve Bayes
  
• 
  Decision tree classification
  

Random forest classification

55.Logistik regressiya mashinali o'qitish modelining qaysi turiga kiradi?

J 1 : Chiziqli

• 
  Logistic regression is a statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (a form of binary regression) [Wikipedia]
  

(tarjimasi) “• Logistik regressiya - bu statistik model bo'lib, uning asosiy shaklida ikkilik bog'liq o'zgaruvchini modellashtirish uchun logistika funktsiyasidan foydalanadi, garchi ancha murakkab kengaytmalar mavjud. Regression tahlilida logistik regressiya (yoki logit regressiya) logistika modeli (ikkilik regressiya shakli) parametrlarini baholamoqda [Vikipediya]”

J 2 :