Sokhar Samb
Sokhar Samb nyɛla la Senegalese Laasabu malibu baŋda, kompiita tabibi lana ni Data yinjiiniya.O nyɛla paɣ'sar polli ka mali master degree zaŋ kpa laasabu malibu ni kompiita tabibi mini master degree zaŋ kpa big data ni kompiita ashili polo. Sokhar nyɛla maʒini karimbu yinjiniya ka o zaɣa biɛ Natural Language Processing (NLP). O nyɛla ŋun mali ninnyambo zaŋ kpa science tabibi baŋsim duhibu, dini sababu n chɛ ka o kpa Woman Promoting Science to Younger Generation (WPSYG) ni niya shɛli din nyɛ alizama dibu n-ti shikurubihi ba n biɛ shikuru kariŋ dukara,din ni soŋsi ba ka bɛ lihi gbaai dunia ŋɔ laasabu malibu ni mali shɛli baayan karim duu.

O Biɛhigu ni baŋsim bɔbu 
Sokhar nyɛla beni dɔɣi so tiŋkpaŋ din be Loul Sessene din be Fatick yaɣili Senegal , Sokhar zoomina ni ninnyambo zaŋ ti laasabu mini science tabibi o biɛhigu ni zaa. O ninnyambo maa daa yila o biɛli paɣa sani na, ŋun daa yu laasabu malibu bɔhimbu pam. Ka a ni tooi nya li o ni o yi ti bɔhindi li ni o taba bee dabba o karim duu. Ka di che ka o bori ni gba ŋmani o biɛli maa O daa nyɛla ŋun tirisi tooni ti niŋ laasabu malibu ka bi mi o yen zaŋli tum tuun' shɛli ka di ti paai ka o suhu puri o ni o taɣi niŋ science tabibi physics yaɣili domi pam dihimi tabili ni laasabu malibu din kuli nyɛla karim wuhiri konko . O yurilim ni laasabu malibu daa niŋ la Alizumma dali o dabisi gahindili bihibihi shikuru ni ka di pala o ni nyɛ Musulimi zuɣu, domi di daa nyɛla dabisi shɛli bakɔi puuni beni daa niŋ laasabu malibu ni zaŋ tum tuma bɔhimbu yaɣili. Bayaan Shikuru,o daa dila soŋsim pini ni o ti tuɣi o karim Laasabu malibu parigu ni kompiita tabibi UGB. O niya din daa nyɛ ni o lԑbi statistician yinjiniya daa kpaŋsi o ka o nya o master degree statistics mini probability laa University yaha. Sokhar ni niŋ o Bachelor's degree n naai, O daa lahi niŋ la Masters tuuli (M1) la laasabu malibu ni Kompiita tabibi yaɣili la University Gaston Berger of Saint-Louis Senegal (UGB), karimzɔŋ ŋɔ yaha ka o daa lahi niŋ o Masters din pahiri ayi (M2) maa Probabilities - Estatistics yaɣili domi O bayaan O ni daa naai, O daa bi lahi bɔri ni o bɔhim baŋsim shɛli din kuli nyɛ karimbu karimbu yaha, ka daa bɔri ni o yiɣi looi baŋsim din nyɛ zaŋ tum tuma yaɣili, to din daa su o yihi African Institutes for Mathematics (AIMS) na.

AIMS n daa o pili shɛli n kpe Data baŋsim tuma yɛltɔɣa ni- data tabibi,zaɣ' karili ni din pahi pahi. Baayan AIMS, O daa chaŋ tum yɛligi o baŋsim data tabibi ni shɛli polo o ni daa yihi Machine Learning na. Din daa yen che ka o lee baŋdi kuɣili, O daa chela O tuma ka tuɣi n doli African Masters in Machine Learning Intelligence (AMMI), AIMS yaɣ shɛli.

O Tuma mini vihigu 
O nyɛla ŋun mali milinsi nti;

. O nyɛla ŋun niŋdi vihigu African Master n-ti Maʒin Bɔhimbu.

. O nyɛla ŋun nyɛ Data jahibu tumtumda m bɛ Dunia Vihigu ni zaŋ tum tuma laɣingu ni,Senegal.

. Microsoft Wed

. Java

. Microsoft Excel

O Kpaŋmaŋ Pina 
. O daa nyɛla ŋun di kpaŋmaŋ pini n chaŋ University ka di nyɛla ŋun nyɛ gaŋdu n jɛndi shikurubihi Metric Yaɣili.

. O daa lahi nyɛla ŋun kpaŋmaŋ pina n jɛndi AIMS mini AMMI yaɣili.

. O nyɛla beni daa pii so n pahi paɣiba pihita ni anu (35) ban zali yuli gbansabila tingbani ni.

.O daa nyɛla bin pii so pahi paɣiba pihita

. Sokhar Samb daa nyɛla bin pii so zani Daa bolo paɣiba Dunia yili Ninneesim pina ni yuuni 2021.

O kundi sabira 
. Toward More Meaningful Resources for Lower-resourced Languages

. Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Kundivihira  

Ninsala
Paɣa
Laasabu malibu computa tabibi baŋda