suniy intellekt

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mavzu: suniy intellekt savollar soni: 10 tuzuvchi: ismailov 1. qaysi usul odatda mustahkam o'rganishda (reinforcement learning) siyosatni baholash va yaxshilashda ishlatilmaydi? a) gradient tushishi (gradient descent) b) monte karlo usullari c) qadriyat iteratsiyasi (value iteration) d) temporal difference (td) o'rganish 2. generativ adabiy tarmoqlar (gans) o'qitish paytida qanday muammo yuzaga kelishi mumkin, bunda diskriminator va generator orasida muvozanat buziladi, natijada generator haqiqiy bo'lmagan namunalar hosil qiladi va diskriminator ularni ajrata olmaydi? a) ortiqcha moslashish (overfitting) b) barcha javoblar to'g'ri c) hodisa yo'qolishi (vanishing gradient) d) rejim yiqilishi (mode collapse) 3. qaysi paradigma sabab-oqibat munosabatlarini aniqlashda muhim rol o'ynaydi va ai tizimlarining tushuntirish qobiliyatini yaxshilashga yordam beradi? a) sabab-oqibat aralashmasi (causal inference) b) nazoratsiz o'rganish (unsupervised learning) c) transfer o'rganish (transfer learning) d) chuqur o'rganish (deep learning) 4. simvolik ai va neyron tarmoqlarining kuchli tomonlarini birlashtirishga qaratilgan arxitektura nima deb ataladi? a) generativ tarmoqlar (generative networks) b) transfer o'rganish (transfer learning) …

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d) genetik algoritm (genetic algorithm) 7. bayes tarmoqlarida (bayesian networks) qaysi algoritmdan sabab-oqibat munosabatlarini aniqlash va strukturasini o'rganish uchun foydalaniladi, bunda ma'lumotlardan foydalanib ehtimollik munosabatlari aniqlanadi? a) gradient tushishi (gradient descent) b) markov zanjiri monte karlo (markov chain monte carlo) c) em algoritmi (expectation-maximization) d) struktura o'rganish algoritmlari (structure learning algorithms) 8. semantic web texnologiyalari doirasida qaysi til ontologiyalarni aniqlash va bilimlar bazalarini qurish uchun ishlatiladi? a) rdf (resource description framework) b) xml (extensible markup language) c) owl (web ontology language) d) html (hypertext markup language) 9. qaysi algoritm tarqoq ma'lumotlar bilan ishlashda juda samarali bo'lib, ma'lumotlarni yuqori o'lchovli fazoga aks ettirish va u erda chiziqli ajratishni amalga oshirishga asoslangan? a) support vector machine (svm) yadrosi fokuslash bilan b) random forest c) k-nearest neighbors (knn) d) logistic regression 10. differentsial xavfsizlik (differential privacy) deganda nima tushuniladi? a) neyron tarmoqlarini haddan tashqari moslashishdan himoya qilish usuli b) ko'p agentli tizimlarda agentlarning …

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mavzu: suniy intellekt savollar soni: 10 tuzuvchi: ismailov 1. qaysi usul odatda mustahkam o'rganishda (reinforcement learning) siyosatni baholash va yaxshilashda ishlatilmaydi? a) gradient tushishi (gradient descent) b) monte karlo usullari c) qadriyat iteratsiyasi (value iteration) d) temporal difference (td) o'rganish 2. generativ adabiy tarmoqlar (gans) o'qitish paytida qanday muammo yuzaga kelishi mumkin, bunda diskriminator va generator orasida muvozanat buziladi, natijada generator haqiqiy bo'lmagan namunalar hosil qiladi va diskriminator ularni ajrata olmaydi? a) ortiqcha moslashish (overfitting) b) barcha javoblar to'g'ri c) hodisa yo'qolishi (vanishing gradient) d) rejim yiqilishi (mode collapse) 3. qaysi paradigma sabab-oqibat munosabatlarini aniqlashda muhim rol o'ynaydi va ai ...

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