Ho ithuta ka kopanelo: Na mokhoa oo oa ho ithuta mochini o ka qetella o boloka lekunutu la data?

• Author:
• Lebitso la sengoli

  Quantumrun Ponelopele
• June 5, 2023

Mekhoa ea ho ithuta ka mochini (ML) e hloka lintlha tse ngata ho ntlafatsa ho nepahala le ts'ebetso ea tsona. Ha dataset e kholoanyane, ho na le tlhahisoleseling e eketsehileng eo algorithm e lokelang ho ithuta ho eona, 'me e ka ntlafatsa haholoanyane. Leha ho le joalo, mokhoa o tloaelehileng oa ho fetisetsa data e hlokolosi ea basebelisi ho seva e bohareng bakeng sa ts'ebetso e ka baka likotsi tsa ts'ireletso 'me ea fella ka ts'ebetso e liehang le tšebeliso e phahameng ea matla.

Boemo ba thuto bo kopaneng

Ho ithuta ka kopanelo ke paradigm e ncha ea ML e fetolang tsela eo data e sebetsoang le ho hlahlobisisoa ka eona. Ka ho aba mokhoa oa ho ithuta ho lisebelisoa tse ngata, thuto e kopanetsoeng e lumella mekhatlo ho koetlisa mehlala e sebelisa lintlha tse seng li ntse li le teng ka lisebelisoa tsa morao-rao, tse kang li-smartphone, li-laptops, le lisebelisoa tsa Inthanete ea Lintho (IoT). Mokhoa ona o ka lebisa ntlafatsong ea boinotši ba data, ho fokotsa latency ea marang-rang, le tšebeliso e ntle ea lisebelisoa.

Kaha data ea bohlokoa e lula e le sesebelisoa sa bohale, ha ho hlokahale hore e fetisetsoe ho leru le bohareng kapa seva. Tloaelo ena e fokotsa kotsi ea tlolo ea molao, litlhaselo tsa marang-rang le litšokelo tse ling tsa ts'ireletso. Ho e-na le hoo, algorithm e romela feela liphetho tsa koetliso ho leru la sechaba kapa marang-rang a arolelanoang, ho sireletsa ho se tsejoe ha data le ho lumella mekhatlo ho latela melao ea lekunutu.

Ho ithuta ka kopanelo ho boetse ho na le monyetla oa ho ntlafatsa lebelo le katleho ea li-algorithms. Kaha koetliso e etsoa lisebelisoa tse ka morao, mehlala e ka ithuta ho data e hlophisitsoeng ka nako ea sebele, e lebisang ho lintlafatso tse potlakileng le ho bokella lintlha. Mokhoa ona o bonolo bakeng sa lits'ebetso moo data e hlahisoang khafetsa, joalo ka tikolohong ea IoT. Mekhatlo e ka sebetsana le data ena kapele le ka nepo, e ba nolofalletsa ho etsa liqeto tse nang le tsebo le tse nakong.

Tšusumetso e senyang

Liindasteri tse sebetsanang le lintlha tsa bohlokoa le tse laoloang haholo, joalo ka tlhokomelo ea bophelo bo botle le lichelete, mohlomong li tla amohela thuto e kopaneng hobane ha ho motho oa boraro, esita le baetsi ba mehlala, ba ka fihlelang data ho lisebelisoa tse sirelelitsoeng. Molemo o mong bakeng sa likhoebo tse sebelisang thuto e kopanetsoeng ke hore e lumella ML e sebetsang hantle, ho fokotsa nako ea ho sebetsa le matla a hlokahalang ho koetlisa mehlala. Ho feta moo, mokhoa ona o ka sebetsa ho lisebelisoa tse nang le matla a fokolang a ho sebetsa, joalo ka li-smartphone tsa pejana le mefuta e ka aparoang.

Hyper-personalization ke molemo o mong oa mofuta ona oa ML, o hlahisang likhothaletso tse nepahetseng haholoanyane, liphetho tsa lipatlisiso le bathusi ba sebele. Ka mefuta ea koetliso ea data ea lehae, mehlala e ithuta ho tsoa pokellong ea data e fapaneng, 'me liphetho tsa koetliso li ka khona ho hapa mekhelo ea boitšoaro ba mosebelisi e mong le e mong. Ka hona, mehlala e ka etsa likhakanyo tse nepahetseng haholoanyane tse ipapisitseng le likhetho tse ikhethang, tse hlahisang boiphihlelo bo ikhethileng. Karolo ena e molemo haholo indastering eohle, ho tloha ho e-commerce ho ea ho tsa bophelo bo botle ho isa boithabisong.

Qetellong, ML e kopanetsoeng e ka thusa ho fokotsa litšenyehelo tsa ho boloka le ho ntlafatsa litsi tse kholo tsa data tse bohareng. Ka ho sebelisa lisebelisoa tse ajoang, lik'hamphani li ka fokotsa palo ea lisebelisoa tseo li hlokang ho li boloka. Ho feta moo, thuto e kopanetsoeng e ka thusa ho etsa democratise AI/ML, ho etsa hore mekhatlo e menyenyane kapa e nang le mehloli e fokolang e fihlellehe haholoanyane. Likhoebo li ka phahamisa tsebo e kopaneng ea lisebelisoa tse ngata ho fapana le ho itšetleha ka lisebelisoa tsa setheo se le seng.

Likopo tsa thuto e kopaneng

Likopo tse ling tsa thuto e kopaneng li ka kenyelletsa:

• Indasteri ea tlhahiso (haholo-holo bahlahisi ba li-smartphone) e ka tsamaisa tlhokomelo e ntlafetseng ka ho sebelisa litlaleho tsa nako ea sebele ho tsoa ho basebelisi ba lefats'e.
• Ho ithuta ka kopanelo ho nolofalletsang lipetlele le bafuputsi ba tsa bongaka ho sebelisana 'moho tlhahlobisong e kholo ea data ea bongaka ntle le ho senya boinotšing ba mokuli, e leng se lebisang tlhahlobong e betere, liphekolo tse ikhethileng, le liphetho tse ntlafalitsoeng.
• Likoloi tse ikemetseng tse khonang ho etsa liqeto tse molemo ho latela lintlha tse tsoang mehloling e fapaneng. Karolo ena e ka ntlafatsa polokeho ea 'mila, ea fokotsa tšubuhlellano ea sephethephethe, 'me ea thusa ho tsamaea.
• E ntlafalitse ho lemoha bomenemene, taolo ea likotsi, le tlhahlobo ea matsete ntle le ho hlahisa lintlha tsa bohlokoa. 
• Lisebelisoa tsa ho ithuta tse ikhethileng bakeng sa baithuti tse ikamahanyang le litlhoko tsa bona le mekhoa ea ho ithuta. 
• Tšebeliso e nepahetseng ea matla le ho fokotsa tlhahiso ea khabone.
• Kotulo e matlafalitsoeng ea lijalo, tšenyo e fokolang ea lijo, le tšireletso e ntle ea lijo, ho rarolla khaello ea lijo lefatšeng ka bophara le ho khothaletsa mekhoa e tsitsitseng ea temo.
• Mekhoa e ntlafalitsoeng ea tlhahiso le boleng bo ntlafalitsoeng ba sehlahisoa. 
• Ntlafatso ea ho etsa liqeto le nts'etsopele ea maano a khothaletsang ponaletso, boikarabello, le ho kenya letsoho ha baahi pusong.
• Koetliso e ntlafetseng ea basebetsi, tsamaiso ea ts'ebetso, le ho boloka basebetsi. 
• Tekanyetso e betere le mehato ea ho loants'a tlhekefetso inthaneteng ntle le ho senya boinotši ba basebelisi. 

Lipotso tse lokelang ho nahanoa

• Na u nahana hore ho ithuta ka kopanelo ke mohato oa bohlokoa ho isa boinotšing ba data?
• U nahana hore thuto e kopaneng e tla fetola joang tsela eo re sebelisanang le bots ka eona?