INKAMPANI
IZINSIZA

I-Adaptive Algorithm Alchemists

Nika ibhizinisi lakho amandla ngezinsiza zethu zokufunda zemishini ezisezingeni eliphezulu, uthuthukise amasistimu okuzifundela athuthuka ngokuqhubekayo, ajwayelana nezimo, futhi alethe imininingwane ebalulekile ekukhuleni kukaphethiloli kanye nokusungula izinto ezintsha.

Udinga ukukhuluma nothile manje?

Finyelela amaleveli amasha ngamasevisi ethu okufunda ngomshini

Amakhono ethu ochwepheshe akulethela izixazululo ezingenakunqotshwa ze-AI kanye nokuhlanganiswa kokufunda komshini kusofthiwe yakho. Jabulela ubuchwepheshe bakamuva nezinqubo, kusukela ekuhlukaniseni umbhalo nokubonwa kwento kuya ekuhlaziyweni kwedatha nokuhumusha ngomshini, konke ngaphakathi kohlaka lwendlela yeklayenti yokuqala.

OKUNINGI NGOKUFUNDA KOMSHINI KANYE NEZINKONZO ZETHU ZOKUFUNDA IMISHINI

Kuyini ukufunda ngomshini futhi amasevisi ethu okufunda ngomshini angakusiza kanjani?

Ukufunda ngomshini kubhekisela ekusetshenzisweni kwama-algorithms ekhompuyutha ukuhlaziya nokufunda amaphethini kudatha, okuvumela imishini ukuthi yenze izibikezelo futhi yenze izenzo ngokusekelwe kulawo maphethini. Ukufunda ngomshini kunezinhlelo zokusebenza ezimbonini eziningi, okuhlanganisa ukunakekelwa kwezempilo, ezezimali, nokumaketha, futhi kungasetshenziswa ukuthuthukisa ukwenza izinqumo nokwenza imisebenzi ngokuzenzakalelayo.

Amasevisi ethu okufunda ngomshini ahlinzeka amabhizinisi ngezixazululo zokufunda ngomshini eziklanyelwe izidingo zawo ezithile. Sinethimba lochwepheshe bokufunda komshini abanolwazi abasebenza eduze namakhasimende ukuthuthukisa izixazululo zokufunda zomshini ezenziwe ngokwezifiso ezihambisana nemigomo yebhizinisi labo.

Amasevisi ethu okufunda ngomshini

Ukunqoba kwe-Cheetah ekuthuthukiseni nasekukhipheni izixazululo ezisezingeni eliphezulu Zokufunda Ngomshini kuncike kakhulu ekwandiseni ukuqonda kwethu izidingo zamakhasimende kanye nokuqinisekisa ukuhambisana nemigomo yazo yokugcina. Inhloso yethu ukunikeza okokufaka okunothile kubasebenzisi ngokukhuthaza ukuxhumana njalo namakhasimende kanye nababambiqhaza abafanelekile. Isici esihlukile sendlela yethu yokuthuthukisa ukuthi ilungiselwe ukuletha izixazululo ezenziwe ngokwezifiso ukuze zihambisane nezidingo zebhizinisi ezihlukile zamaklayenti ahlukahlukene.

I-Computer Vision

I-Computer Vision

Umbono wekhompyutha ukhipha ulwazi olubalulekile endaweni ezungezile. Busebenza ekuqashelweni kobuso, ukuhlonza i-biometric, nezokuthutha, lobu buchwepheshe buthuthukisa amakhono okuhlaziya, buguqule izimboni ezihlukahlukene.”

I-NLP

I-NLP

Ama-Chatbots azibandakanya nabantu nge-AI nokufunda ngomshini. Ukukhipha imininingwane emibhalweni kanye nokuhlonza izihloko ezibalulekile. Imisebenzi ebikade ingeyabantu kuphela manje isingenziwa ngemishini.

Izibalo eziqagelayo

Izibalo eziqagelayo

Ukuze uthole ukuqonda ngekusasa nomthelela walo, hlaziya idatha evela emithonjeni edlule neyamanje. Gwema ukubikezela okungalungile futhi uthembele ebufakazini obuphathekayo ukuze uthathe izinqumo zamasu, uhlele impumelelo yesikhathi eside ngendlela esheshayo.

Ukutholwa Okungaqondakali

Ukutholwa Okungaqondakali

Ukuhlaziywa kwedatha kukhomba ukungahambi kahle emikhakheni eyahlukene. Amathuluzi athuthukile athola okudidayo kanye nesenzo esisheshayo. Tshala ukuze ulungise ukungezwani ngokushesha futhi uvikele ukusebenza kwebhizinisi.

Ukuthuthukiswa Ngokwezifiso

Ukuthuthukiswa Ngokwezifiso

Ipulatifomu yethu yokufunda ngomshini njengesevisi (i-MLaaS) yenza ngendlela oyifisayo izinhlelo zokusebenza zokukhiqiza okuthuthukisiwe. Izinhlelo zokusebenza zokufunda ngomshini ezenziwe ngendlela efanele zinika amabhizinisi amandla okuhlala phambili futhi azivumelanise nezimo ezishintshayo zemakethe.

Ukwengezwa kwabasebenzi be-ML

Ukwengezwa kwabasebenzi be-ML

Ingabe ufuna onjiniyela bokufunda bemishini ephezulu? Sibhekelela izidingo ezihlukene ze-AI/ML ngokubambisana okungenazihibe, amamodeli okuhlanganyela avumelana nezimo, nokwabiwa kwensiza okuguquguqukayo. Hlanganyela nathi ngokusheshisa izimfuno zebhizinisi lakho.

Sebenzisa ukufunda komshini kwe-Cheetha njengomnikelo wesevisi wokulawula okukhulu kokusebenza kwakho kwe-ML

Amasevisi e-Cheetah’s ML asiza ukwakha uhlelo lokusebenza lwe-ML olungenazihibe, ukuhlolwa, nokusetshenziswa. Isekela ubuchwepheshe bomthombo ovulekile, ukukhiqizwa kwemodeli ezenzakalelayo nokushuna, nokwenza ngokwezifiso, ngokubambisana kochwepheshe kusukela ekulungiselelweni kwedatha kuya ekuqeqeshweni okuyimodeli, ukuhlola, nokusatshalaliswa, okwandisa ukusebenza kahle nokunemba kokuzenzakalela kwenqubo yebhizinisi.

Ingabe izinsiza zokufunda zomshini zeCheetah zingcono kakhulu?

Ukufunda ngomshini kwe-Cheetah njengesevisi kuveza izinto eziningi ezithuthukile ezisiza ukwenziwa lula kwemodeli nokushuna, okuholela ekuthuthukisweni okumangalisayo kukho kokubili ukusebenza kahle nokunemba. Isevisi yethu ihlinzeka ngokusatshalaliswa okusheshayo kwamamodeli aphambili emafini noma emagcekeni, okukhuphula ukusebenza kwebhizinisi lakho kufinyelele ezingeni eliphezulu lokukhiqiza. Ukuhlolwa okuqinile kwemodeli nokwenza ngokwezifiso kuqinisekisa izixazululo ezifanele ezenzelwe izidingo ezihlukile zenkampani yakho.

Ithimba lethu lochwepheshe lisebenzisana nawe zonke izinyathelo zendlela, kusukela ekulungiseni idatha ngokucophelela kuye ekuqeqesheni okuyimodeli okuphelele, kanye nokuhlola nokusetshenziswa, nokuqinisekisa ukuthi ibhizinisi lakho liveza amandla agcwele amakhono eCheetah’s Machine Learning.

Advanced Technologies

Advanced Technologies

Hlala uye phambili ngamasevisi ethu athuthukile okufunda ngomshini. Ochwepheshe basebenzisa ubuchwepheshe bakamuva ukuze balethe ukuvikeleka okuphezulu, ukusebenza kahle, kanye nemininingwane ekhuthaza ukukhula nempumelelo.

Izinqubo Zakamuva

Izinqubo Zakamuva

Zuza umkhawulo wokuncintisana ngamasevisi ethu okufunda ngomshini. Ochwepheshe baletha izixazululo ezithuthukisiwe zokwandisa ukusebenza kahle, imininingwane, kanye nembuyiselo esheshayo ekutshalweni kwezimali.

Ukuphepha kwezinga eliphezulu

Ukuphepha kwezinga eliphezulu

Hlala uye phambili ngezinsiza zethu zokufunda ngomshini. Ochwepheshe baletha ukuvikeleka kwezinga eliphezulu, ukusebenza kahle, kanye nemininingwane engenzeka ukuze kukhuliswe amandla nokufeza imigomo kusetshenziswa ubuchwepheshe bakamuva nezinqubo.

Khulisa Ukusebenza kahle

Khulisa Ukusebenza kahle

Buyekeza imisebenzi yebhizinisi ngezixazululo zethu zokufunda ngomshini. Ochwepheshe bahlanganisa ubuchwepheshe obusezingeni eliphezulu ukuze busebenze kahle, imininingwane, kanye ne-ROI esheshayo, ebalulekile ekukhuleni kwebhizinisi okusimeme nempumelelo endaweni eguqukayo.

Thola Ukuqondisisa

Thola Ukuqondisisa

Thola umkhawulo wokuncintisana ngezinsizakalo zethu zokufunda ngomshini eziyisisekelo. Ochwepheshe bathuthukisa izixazululo eziyinkimbinkimbi zezinqubo ezilula, imininingwane ebalulekile, kanye ne-ROI esheshayo ukusiza amabhizinisi afinyelele ukuphakama okusha futhi aphumelele ukuncintisana.

I-ROI esheshayo

I-ROI esheshayo

Phuma ngezinsiza zethu zokufunda zomshini we-premium. Ochwepheshe abanekhono basebenzisa ubuchwepheshe obusezingeni eliphezulu kanye nezindlela zokuhlinzeka ngokuvikeleka kwezinga eliphezulu, ukukhiqiza, kanye nemininingwane eqhutshwa yidatha yokuyisa ibhizinisi lakho kwelinye izinga.

UKUPHATHWA OKUHOLA EMBUKWENI

Siyathembisa, awukaze ube nomsebenzi ophethwe kanje.

Kusukela emaqenjini asekela amaphrojekthi angu-24x7x365 kuya endleleni yethu eyingqayizivele yokuklama okusekelwe ku-sprint, inqubo yethu yokuphatha iphrojekthi ifana nezinye. Amanye ama-ejensi awakwazi ukuncintisana ngoba sihlala siqamba izindlela ezintsha zokukusiza kangcono.

SIKWENZA KANJANI

Inqubo.

Le nqubo ivamise ukubandakanyeka namasevisi okufunda omshini

Ukuqonda inkinga yebhizinisi okudingeka ixazululwe kanye nokuchaza ububanzi bephrojekthi.

Ukuqoqa idatha efanelekile nokuyicubungula kusengaphambili ukuze isetshenziswe kuma-algorithms okufunda komshini.

Ukukhetha nokudala izici ezifanele ukuze zifakwe kumamodeli okufunda omshini.

Ukukhetha imodeli yokufunda yomshini efanele ngokusekelwe encazelweni yenkinga, idatha nemiphumela efiswayo.

Ukuqeqesha imodeli ekhethiwe kudatha elungisiwe ukuze udale imodeli engenza izibikezelo ezinembile.

Ukuhlola ukusebenza kwemodeli eqeqeshiwe ukuze kuqinisekiswe ukuthi ifinyelela amazinga okunemba afiselekayo.

Ukuhlanganisa imodeli eqeqeshiwe kusixazululo sesoftware yebhizinisi.

Ukuqapha njalo ukusebenza kwemodeli nokuyibuyekeza njengoba kudingeka ukuze uqinisekise ukuthi iyaqhubeka nokunikeza imiphumela enembile.

Ukuhlaziya imiphumela ekhiqizwe imodeli nokwenza noma yiziphi izinguquko ezidingekayo ukuze kuthuthukiswe ukusebenza kwayo.

Ngokuqhubekayo uthuthukisa imodeli kanye nama-algorithms ayo ayisisekelo ukuze uzuze imiphumela engcono kakhulu ngokuhamba kwesikhathi.

100+ Ozakwethu Abathenjwa

Sithanda ukuklama amaphrojekthi wekusasa. Bona ukuthi sikwenzelani i-DotBot.

Funda kabanzi mayelana nokuthi siklama ini inkampani yethu engudadewethu i-DotBot nokuthi ibasiza kanjani ukuthi bacabange kabusha ukumaketha nge-MarketBot kanye nokushintsha umklamo unomphela nge-DesignBot.

Abantu bayayithanda iCheetah
futhi bayayithanda ikhodi yethu.

Zitholele ukwaneliseka kwamakhasimende ethu ahlangabezane nomthelela wezinsizakalo zethu zokumaketha kwedijithali. Funda ubufakazi bethu obukhazimulayo ukuze ubone imiphumela esiyizuzile kumabhizinisi afana nelakho.

Vinay Singh

Vinay Singh

Distributed Web
Chief Scientist

NjengoSosayensi Omkhulu Wephrojekthi Yewebhu Esatshalalisiwe, ngingafakaza ngobunkimbinkimbi bokwakha isofthiwe eyisisekelo yalolu hlelo olusha. Sabona ukuthi sidinga uzakwethu wezobuchwepheshe onamakhono akhethekile nolwazi lokuthuthukisa isofthiwe. Yingakho siphendukele ophikweni lwezobuchwepheshe lwe-Cheetah Agency ngobuchwepheshe babo.

Ithimba labo lonjiniyela abanekhono likwazile ukusinikeza isixazululo esiphelele esihlangabezana nezidingo zethu ezihlukile. Ulwazi lwabo lobuchwepheshe obuphambili, okuhlanganisa i-blockchain kanye nekhompyutha esabalalisiwe, lwalubalulekile empumelelweni yephrojekthi yethu.

UJohane

UJohane

DotBot, Evangelist

Njengomphumela wesu eliphelele le-Cheetah Agency lokumaketha kwedijithali yesofthiwe yethu esekelwe ku-AI, ebesikulindele kweqiwe. Batuswa kakhulu uma kukhulunywa ngobuchule bokumaketha kwesoftware esekwe ku-AI kanye nemiphumela ngenxa yokuthi umkhankaso wabo ohlosiwe futhi ophumelelayo ukhiqize ukuhola okuphezulu nokuqashelwa komkhiqizo. Ngabe ngishilo ukuthi babhala isoftware ye-AI ezingeni eliphezulu kakhulu?

Ubukhulu

Ubukhulu

dRide, Chief Technology Officer

Njenge-CTO yenkampani ehlukaniselwe indawo yokwabelana ngokugibela, ngibe nelungelo lokuhlanganyela nethimba lokuthuthukisa isofthiwe le-Cheetah Agency ukuthuthukisa i-dRide. Ubuchwepheshe bethimba labo ekuthuthukisweni kwesofthiwe nokuzibophezela kwabo ekuletheni izixazululo zekhwalithi kwakubalulekile empumelelweni yephrojekthi yethu.

I-Cheetah Agency ingihlabe umxhwele ngendlela yabo entsha neyokucabanga phambili ekuthuthukisweni kwesoftware. Babehlale befuna izixazululo ezintsha nezisungulayo ezinselele zobuchwepheshe eziyinkimbinkimbi, futhi ithimba labo belinokuqonda okujulile kwentuthuko yakamuva yezobuchwepheshe.

Ngaphezu kwalokho, kwangihlaba umxhwele ukuzimisela kwabo ukulalela izimfuneko zethu nokuhlela izixazululo zabo ukuze zihlangabezane nezidingo zethu. Ithimba labo belisebenzisana kakhulu futhi livumelana nezimo, futhi bakwazi ukuzivumelanisa nezinguquko nezibuyekezo kuyo yonke inqubo yentuthuko kalula.

Cory

Cory

WorldRaps, Co-Founder

Umfana wakho u-Cory, owaziwayo njengoMayhem kanye nami kufanele simemeze ku-Cheetah Agency ngomsebenzi wabo wokucisha umlilo kunethiwekhi ye-WorldRaps kanye nawo wonke amasayithi ethu angaphansi njenge-USARaps, AsiaRaps, EuroRaps, AfricaRaps, CanadaRaps, TexasRaps, GeorgiaRaps, CaliRaps, FloridaRaps , NewYorkRaps, ChicagoRaps, DetroitRaps, MidwestRaps kanye nohlu luyaqhubeka.

Umdlalo weCheetah Agency ubusezingeni eliphezulu. Ukwakheka kwabo kwewebhu namakhono okuthuthukisa bekumangalisa, futhi basebenze ngokungakhathali ukwenza amasayithi ethu akhanye. Babenezikhathi ezithile eziqinile, kodwa abazange bakhubeke futhi benze konke ngesikhathi, ngaso sonke isikhathi.

Konke kwakumayelana nokusebenzisana, futhi balalela umbono wethu wezingosi zethu, benza isiqiniseko sokuthi yonke into yayifana ncamashi nendlela esasifuna ngayo. Baletha ukushisa.

Iwebhu Esabalalisiwe

UCWANINGO LWECABA LOKUTHUTHUKISA

Njengoba kunezindawo ezingaphezu kuka-46 ezweni lonke, kufanele uzame ukuthola Cheetah eduze nawe.

I-Cheetah Agency ikhulisa ngokushesha umkhondo wayo ngezindawo ezingaphezu kuka-45 ezweni lonke, okuhlanganisa nezimakethe ezinkulu ezifana ne-Dallas, i-Miami, i-Los Angeles, ne-Sooke, BC. Njengoba kuvulwa indawo entsha e-Dubai, sizibophezele ekuhlinzekeni ngezinsizakalo zokuthengisa zedijithali ezisezingeni eliphezulu emabhizinisini ezweni lonke nangale kwayo.

Ukwandisa inethiwekhi yethu yezindawo kusivumela ukuthi sisondele kumakhasimende ethu ebhizinisi, siwanikeze usekelo olusebenzayo aludingayo ukuze afinyelele imigomo yawo yokumaketha. Ithimba lethu lochwepheshe liyaqonda izidingo ezihlukile zamabhizinisi ebhizinisi, futhi silwela ukuletha izixazululo eziqondene nawe ukuze siwasize aphumelele emakethe encintisana kakhulu.

Ngokusondelana namakhasimende ethu, siyakwazi ukuthuthukisa ukuqonda okujulile kwebhizinisi lawo, futhi sinikeze amasu okumaketha edijithali angokwezifiso ahambisana nezinjongo zawo ezithile. Indlela yethu yokusebenza ngezandla isivumela ukuthi silethe imiphumela eyenza umthelela ophusile, futhi siyaziqhenya ngekhono lethu lokusekela amakhasimende ethu ebhizinisi ekufinyeleleni ukuphakama okusha.

Thatha ithuba futhi uvule amandla e-AI ebhizinisi lakho ngezinsizakalo zethu Zokufunda Ngomshini. Cela isicaphuna samahhala namuhla ukuze uqalise!

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