AI ee Kediska Saadaasha Macmiilka

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Maxaa loola jeedaa 'customer churn'?
   • Macaamiishu waxay joojinayaan ama joojinayaan isticmaalka badeecad ama adeeg
   • Macaamiisha oo kordhinaya kharashkooda
   • Habka fuulista macaamiisha cusub
   • Nooc ka mid ah iimaylka suuq geynta
2. Waa maxay nooca dhibaatada barashada mashiinka ee saadaasha qallafsan ee sida caadiga ah loo qaabeeyey?
   • Koox aan la ilaalin
   • Kala soocida la kormeero iyadoo la adeegsanayo xogta calaamadeysan ee taariikhiga ah
   • Xoojinta barashada abaalmarinta
   • Jiilka sawirka
3. Waa maxay sababta saxnaanta cad u tahay mitir liidata ee moodooyinka curan?
   • Saxnimada waa wax aan suurtagal ahayn in la xisaabiyo
   • Saxnimada kaliya waxay u shaqeysaa sawirada
   • Xog-ururintu waa isku dheeli tirnaan la'aan, sidaa darteed in qof walba loo saadaaliyo 'ma lihid' waxay u ekaan kartaa mid sax ah
   • Churn ma laha natiijo la qiyaasi karo
4. Waa maxay 'daadin xogta' macnaha guud?
   • Macaamiisha wadaaga furaha sirta ah
   • Luminta diiwaanka macaamiisha ee tuugada
   • Su'aalo xog-ururin ah
   • Muuqaal si lama filaan ah u qeexaya natiijada, sida taariikhda burinta, kor u qaadida waxqabadka
5. Waa kee qoyska algoorithm ka ah ee si gaar ah ugu caan baxay xogta tabbeelka?
   • Geedaha go'aanka si tartiib tartiib ah loo xoojiyay sida XGBoost iyo LightGBM
   • Shabakadaha neerfaha ee Convolutional
   • Shabakadaha neerfaha ee soo noqnoqda ee maqalka
   • K-macnaheedu waa ururin kaliya
6. Maxay 'qaabaynta kor u qaadida' ku soo kordhinaysaa ka baxsan saadaasha qallafsan ee caadiga ah?
   • Waxay ka dhigaysa moodelku inuu si degdeg ah u socdo
   • It estimates which customers may be more likely to benefit from an intervention
   • Waxay meesha ka saaraysaa baahida xog kasta
   • Waxa kaliya oo ay u shaqeysaa macaamiisha cusub
7. Which feature group can help a churn model detect weakening customer engagement?
   • The color of the customer’s profile image
   • A feature recorded only after cancellation has occurred
   • Recent activity and usage frequency, alongside contract and support history
   • The model’s GPU temperature during training
8. What should a team define when labeling a churn model’s prediction target?
   • The color scheme of the account dashboard
   • The number of features before collecting customer history
   • A fixed decision threshold before model training begins
   • A clear prediction horizon, such as whether a customer will leave within the next 30 or 90 days