Kediska Shuftada Hubka Badan

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Ganacsiga dhexe ee dhibaatada burcada hubaysan ee badan ayaa u dhaxaysa:
   • Sahaminta iyo ka faa'iidaysiga
   • Eex iyo kala duwanaansho
   • Saxnaanta iyo dib u soo celinta
   • Tababarka iyo ka-fiirsashada
2. Dhibaatooyinka burcadda, 'ka qoomameynta' waxaa loola jeedaa:
   • Xusuusta uu isticmaalo algorithm-ka
   • Farqiga abaal-marineed ee isugaynta ah marka loo eego ciyaarista cududda ugu fiican
   • Tirada hubka la heli karo
   • Waqtiga lagu tababaro moodalka
3. Maxay qabataa istiraatijiyadda hunguriga epsilon?
   • Had iyo jeer ku soo qaado cududda celceliska ugu sarreeya
   • Waligaa ha sahamin cudud kasta
   • Badanaa waxay ka faa'iidaysataa gacanta ugu fiican laakiin waxay si aan kala sooc lahayn u sahamisa itimaalka epsilon
   • Jiid cudud kasta tiro le'eg oo jeer weligeed ah
4. Habka Kalsoonida Sare (UCB) wuxuu raacayaa mabda'a ah:
   • Waji-jacayl shaki la'aan ah
   • Iyaga oo iska indhatiraya hubaal la'aanta gabi ahaanba
   • Xulasho aan toos ahayn oo keliya
   • Rajo wanaagsan oo ku wajahan hubaal la'aanta
5. Sambalaynta Thompson waxay ku doorataa cudud:
   • Muunad laga soo qaado cudud kasta caqiidadeeda danbe iyo ciyaarista muunada ugu fiican
   • Had iyo jeer qaadashada gacanta ayaa la jiiday ugu yaraan
   • Xulashada gacmaha si go'an oo wareeg ah
   • Yaraynta khasaaraha tababarka
6. Sidee buu tuugta macnaha guud uga duwan yahay kan caadiga ah?
   • Waxay iska indhatirtay gabi ahaanba abaal-marinaha
   • Waxay isticmaashaa sifooyinka xaaladda hadda jirta si ay ugu wargeliso doorashada
   • Waxay leedahay hal gacan oo keliya
   • Ma baran karto waqti ka dib
7. In UCB, which arm usually receives a larger exploration bonus?
   • An arm whose sample count is largest
   • An arm with no uncertainty by definition
   • An arm that has been sampled relatively few times
   • An arm with a negative reward only
8. What does logarithmic regret growth indicate over a long run?
   • The algorithm receives zero reward after each round
   • The best arm changes at every step
   • Exploration stops before the first observation
   • The cumulative gap from always choosing the best arm grows much slower than the number of rounds