I-Worksuite isebenzisa kanjani idatha yokwenziwa enqubweni yayo yokuhlola

Indawo yokusebenza iyinethiwekhi ekhethekile ye-top-tier Data Science kanye ne-AI freelancers (500+). Sihlanganisa ochwepheshe nezinkampani endaweni yesikhulumi sethu ngokuqondisa ama-freelancers ngaphambi naphakathi kwamaphrojekthi. Lokhu sikubiza nge-Data Science & AI njengesevisi.

Inani elengeziwe ledatha yokwenziwa kunqubo yokuhlola

Abasebenza ngokuzimela kwipulatifomu ye-Worksuite badlula kwinqubo yokuhlola. Le nqubo yakhelwe ezungeze isikrini sephrofayela, ikholi yevidiyo, nenselelo yesayensi yedatha. Izinselelo zakhelwe izindawo ezifana ne-NLP, Image Recognition, Time Series Forecasting, Classification, and Regression. Kulezi ezimbili zokugcina, umfakisicelo uthola idathasethi yesitimela nohlolo lapho idathasethi yokuhlola ingenalebuli. Umfakisicelo bese usebenzisa isixazululo sakhe bese ebuyisa amalebula abikezelwe kusethi yedatha yokuhlola ehambisana nayo. Kubalulekile ukuthi idathasethi ingumnikazi noma ingatholakali ku-inthanethi. Ngoba kunoma yisiphi isimo ithuba lokukhwabanisa lizobaluleka.

I-Worksuite x Syntho

Ngakho-ke, i-Workuite isebenze ngokubambisana neSyntho ukwenza amagama wedathasethi kaMshini Wokufunda (ahlelekile) we-Classical ukwakha izinselelo ezingenabo ubugebengu nezinselelo zokubuyela emuva. Ngokusebenzisa i-Syntho Engine ukwenza imininingwane yamagama singakwazi ukusebenzisa izakhiwo ezithokozisayo zamasheya wedatha wokucwaninga ngomshini, ngaphandle kokuvula amathuba okukhwabanisa.  

iqembu labantu elimamathekayo

Idatha iyenziwe, kodwa ithimba lethu lingokoqobo!

Xhumana noSyntho futhi omunye wochwepheshe bethu uzoxhumana nawe ngesivinini sokukhanya ukuze ahlole inani ledatha yokwenziwa!

Umhlangano wesheduli
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