Qiyinlik darajasi

Clustering

• 
  Hierarchical clustering
  
• 
  K-means clustering
  
• 
  K-NN (k nearest neighbors)
  
• 
  Principal Component Analysis
  
• 
  Singular Value Decomposition
  
• 
  Independent Component Analysis
  

Yakuniyga Javoblar Mashinli o’qitish

2.Mashinali o’qitish va suniy intellekt?
Mashinali o’qitish O’qitish masalasi
(Machine Learning) – bu kompyuterni dasturlashning yangi yo’nalishi bo’lib, dasturning ma’lumotlarni o’qib olish va shu ma’lumotlar asosida o’rganish xususiyatiga ega bo’lishidir.
.Sun'iy intellekt (AI) - bu kompyuterda insonning aqlli xatti- harakatlarini qanday amalga oshirishni o'rganadigan tadqiqot sohasi.
5. Mashinali o’qitishning o’qituvchili sinflashtirish algoritmini ko’rsating?

Supervised Lerning ,Classification(defined Labes ),Regression no Labels defined )

Regression Clasiification

6.Supervised learning?
O’qituvchili o’qitish (Supervised learning) – bu modelni xususiyatlari aniq bo’lgan ma’lumotlar bilan o’qitish. (Regressiya, sinflashtirish)

• 
  

7.Unsupervised learning ?
O’qituvchisiz o’qitish (Unsupervised learning)
– bu modelni
xususiyatlari aniq bo’lmagan ma’lumotlar bilan o’qitish.(Klasterlash
8.Semi-supervised learning?
Semi-supervised learning – bu modelni ham aniq ham aniq bo’lmagan xususiyatli ma’lumotlar bilan o’qitishdir.
9.Reinforcement learning ?
Reinforcement – bu o’qitishning mukammal usuli bo’lib, bunda model o’zini-o’zi qayta o’qitish va natijalarni yaxshilash imkoniyatiga ega bo’ladi.
10. O’qitishning mukammal usuli bo’lib, bunda model o’zini-o’zi qayta o’qitish va natijalarni yaxshilash imkoniyatiga ega bo’ladi