AI ili paliponse, koma nthawi zina zimakhala zovuta kumvetsetsa mawu ndi mawu. Mu positi iyi yabulogu, tikufotokozera mawu ndi matanthauzo opitilira 50 AI kuti mutha kumvetsetsa bwino ukadaulo womwe ukukula mwachangu.
Kaya ndinu woyamba kapena katswiri, tikubetcha kuti pali mawu ochepa pano omwe simukuwadziwa!
1. Nzeru zochita kupanga
Nzeru zochita kupanga (AI) imatanthawuza kupangidwa kwa makina apakompyuta omwe amatha kuphunzira ndi kugwira ntchito paokha, nthawi zambiri potengera luntha laumunthu.
Makinawa amasanthula deta, kuzindikira machitidwe, kupanga zisankho, ndikusintha machitidwe awo motengera zomwe zawachitikira. Pogwiritsa ntchito ma aligorivimu ndi mitundu, AI ikufuna kupanga makina anzeru omwe amatha kuzindikira ndikumvetsetsa komwe akuzungulira.
Cholinga chachikulu ndikupangitsa makina kuti azigwira ntchito moyenera, kuphunzira kuchokera ku data, ndikuwonetsa luso la kuzindikira lofanana ndi la anthu.
2. Algorithm
Algorithm ndi ndondomeko yolondola komanso mwadongosolo ya malangizo kapena malamulo omwe amawongolera njira yothetsera vuto kapena kukwaniritsa ntchito inayake.
Imagwira ntchito ngati lingaliro lofunikira m'magawo osiyanasiyana ndipo imagwira ntchito yofunika kwambiri mu sayansi yamakompyuta, masamu, ndi njira zothetsera mavuto. Kumvetsetsa ma algorithms ndikofunikira chifukwa amathandizira njira zothana ndi zovuta, ndikuwongolera kupita patsogolo kwaukadaulo komanso kupanga zisankho.
3. Zambiri
Deta yayikulu imatanthawuza ma dataset akulu kwambiri komanso ovuta omwe amaposa kuthekera kwa njira zowunikira zakale. Maseti awa nthawi zambiri amadziwika ndi kuchuluka kwake, kuthamanga kwake, komanso kusiyanasiyana.
Voliyumu imatanthawuza kuchuluka kwa deta yomwe imapangidwa kuchokera kuzinthu zosiyanasiyana monga chikhalidwe TV, masensa, ndi zochitika.
Kuthamanga kumatanthawuza kuthamanga kwakukulu komwe deta imapangidwira ndipo imayenera kukonzedwa mu nthawi yeniyeni kapena pafupi ndi nthawi yeniyeni. Zosiyanasiyana zimayimira mitundu yosiyanasiyana ya data, kuphatikiza zosanjidwa, zosasinthika, komanso zosanjika pang'ono.
4. Kugwiritsa Ntchito Deta
Kuyika deta ndi njira yokwanira yopezera zidziwitso zamtengo wapatali m'ma dataset ambiri.
Zimaphatikizapo magawo anayi ofunika: kusonkhanitsa deta, kuphatikizapo kusonkhanitsa deta zofunikira; kukonzekera deta, kuonetsetsa kuti deta ndi yogwirizana; migodi deta, kugwiritsa ntchito ma aligorivimu kupeza njira ndi maubale; ndi kusanthula deta ndi kutanthauzira, kumene chidziwitso chochotsedwa chimafufuzidwa ndikumveka.
5. Neural Network
Makina apakompyuta adapangidwa kuti azigwira ntchito ngati ubongo waumunthu, wopangidwa ndi mfundo zolumikizana kapena minyewa. Tiyeni timvetsetse izi pang'ono monga momwe AI ambiri adakhazikitsira mawindo a neural.
M'zithunzi pamwambapa, tikulosera za chinyezi ndi kutentha kwa malo pophunzira kuchokera ku ndondomeko yakale. Zolowetsazo ndi dataset ya mbiri yakale.
The neural network amaphunzira chitsanzocho posewera ndi zolemera ndi kugwiritsa ntchito mfundo zokondera mu zigawo zobisika. W1, W2….W7 ndi zolemera zake. Imadziphunzitsa yokha pa dataset yoperekedwa ndikupereka zotuluka ngati kulosera.
Mutha kudabwitsidwa ndi zambiri zovutazi. Ngati ndi choncho, mutha kuyamba ndi kalozera wathu wosavuta Pano.
6. Kuphunzira Makina
Kuphunzira pamakina kumayang'ana kwambiri kupanga ma algorithms ndi mitundu yomwe imatha kuphunzira zokha kuchokera ku data ndikuwongolera magwiridwe antchito pakapita nthawi.
Zimaphatikizapo kugwiritsa ntchito njira zowerengera kuti makompyuta athe kuzindikira mawonekedwe, kulosera, ndikupanga zisankho zoyendetsedwa ndi data popanda kukonzedwa bwino.
Ma algorithms ophunzirira makina kusanthula ndi kuphunzira kuchokera kumagulu akuluakulu, kulola machitidwe kuti asinthe ndikusintha khalidwe lawo potengera zomwe akupanga.
7. Kuphunzira Mozama
Kuphunzira kwambiri, gawo laling'ono la kuphunzira pamakina ndi maukonde a neural, limagwiritsa ntchito njira zotsogola kuti apeze chidziwitso kuchokera ku data poyerekezera njira zovuta zaubongo wamunthu.
Pogwiritsa ntchito ma neural network okhala ndi zigawo zambiri zobisika, mitundu yophunzirira mwakuya imatha kudzipangira yokha zinthu zovuta komanso mawonekedwe, kuwapangitsa kuti azitha kugwira ntchito zovuta molondola komanso mwaluso.
8. Kuzindikiritsa Chitsanzo
Kuzindikira mafanizo, njira yowunikira deta, imagwiritsa ntchito mphamvu zamakina ophunzirira makina kuti azitha kuzindikira ndi kuzindikira machitidwe ndi zomwe zimachitika mkati mwa ma dataset.
Pogwiritsa ntchito njira zowerengera komanso njira zowerengera, ma aligorivimu ozindikiritsa ma pateni amatha kuzindikira mawonekedwe ofunikira, kulumikizana, ndi zomwe zikuchitika mu data yovuta komanso yosiyanasiyana.
Njirayi imathandizira kuchotsa zidziwitso zofunikira, kugawa deta m'magulu osiyanasiyana, ndi kulosera zamtsogolo zamtsogolo motengera machitidwe ozindikirika. Kuzindikira mafanizo ndi chida chofunikira m'magawo osiyanasiyana, kupatsa mphamvu popanga zisankho, kuzindikira zolakwika, ndi kulosera zam'tsogolo.
Biometrics ndi chitsanzo chimodzi cha izi. Mwachitsanzo, pozindikira zala zala, algorithm imasanthula mizere, mapindikidwe, ndi mawonekedwe apadera a chala cha munthu kuti apange chithunzi cha digito chotchedwa template.
Mukayesa kutsegula foni yanu yam'manja kapena kupeza malo otetezeka, makina ozindikira mawonekedwe amafananiza zomwe zajambulidwa za biometric (mwachitsanzo, chala) ndi ma tempulo osungidwa munkhokwe yake.
Mwa kufananiza mapataniwo ndikuwunika kuchuluka kwa kufanana, dongosololi limatha kudziwa ngati data yoperekedwa ya biometric ikufanana ndi template yosungidwa ndikupereka mwayi moyenerera.
9. Maphunziro Oyang'aniridwa
Kuphunzira koyang'aniridwa ndi njira yophunzirira makina yomwe imaphatikizapo kuphunzitsa makina apakompyuta pogwiritsa ntchito deta yolembedwa. Mwanjira iyi, makompyuta amaperekedwa ndi deta yolowera pamodzi ndi malemba odziwika kapena zotsatira zake.
Tiyerekeze kuti muli ndi zithunzi zambiri, zina zili ndi agalu ndipo zina ndi amphaka.
Mumauza kompyuta zithunzi zomwe zili ndi agalu ndi zomwe zili ndi amphaka. Kenako kompyutayo imaphunzira kuzindikira kusiyana kwa agalu ndi amphaka mwa kupeza zitsanzo pazithunzi.
Ikaphunzira, mutha kupatsa kompyuta zithunzi zatsopano, ndipo idzayesa kudziwa ngati ali ndi agalu kapena amphaka kutengera zomwe adaphunzira kuchokera ku zitsanzo zolembedwa. Zili ngati kuphunzitsa kompyuta kulosera zinthu pogwiritsa ntchito zinthu zodziwika.
10. Maphunziro Osayang'aniridwa
Kuphunzira kosayang'aniridwa ndi mtundu wa kuphunzira pamakina komwe kompyuta imasanthula deta yokha kuti ipeze mawonekedwe kapena zofanana popanda malangizo enieni.
Sizidalira zitsanzo zolembedwa ngati maphunziro oyang'aniridwa. M'malo mwake, imayang'ana zobisika kapena magulu mu data. Zili ngati kompyuta ikutulukira zinthu palokha, popanda mphunzitsi kuwauza zoyenera kuyang’ana.
Kuphunzira kotereku kumatithandiza kupeza zidziwitso zatsopano, kukonza deta, kapena kuzindikira zinthu zachilendo popanda kufuna kudziwa kale kapena malangizo achindunji.
11. Natural Language Processing (NLP)
Natural Language Processing imayang'ana momwe makompyuta amamvetsetsa komanso kuyanjana ndi chilankhulo cha anthu. Imathandiza makompyuta kusanthula, kumasulira, ndi kuyankha chinenero cha anthu m’njira yodzimva yachibadwa kwa ife.
NLP ndi yomwe imapangitsa kuti tizitha kulumikizana ndi othandizira mawu, ndi ma chatbots, komanso ngakhale maimelo athu asanjidwe kukhala mafoda.
Zimaphatikizapo kuphunzitsa makompyuta kuti amvetsetse tanthauzo la mawu, ziganizo, ngakhale malemba athunthu, kotero kuti athe kutithandiza pa ntchito zosiyanasiyana ndikupanga kugwirizana kwathu ndi luso lamakono kukhala losavuta.
12. Masomphenya a Pakompyuta
Mawonekedwe apakompyuta ndi luso lochititsa chidwi lomwe limalola makompyuta kuona ndi kumvetsa zithunzi ndi mavidiyo, monga momwe anthufe timachitira ndi maso athu. Zonse zimangophunzitsa makompyuta kuti azisanthula zomwe akuwona ndikumvetsetsa zomwe akuwona.
M'mawu osavuta, masomphenya apakompyuta amathandiza makompyuta kuzindikira ndikutanthauzira dziko lowoneka. Zimakhudzanso ntchito monga kuwaphunzitsa kuzindikira zinthu zenizeni muzithunzi, kugawa zithunzi m'magulu osiyanasiyana, kapenanso kugawa zithunzi m'magawo ofunikira.
Tangoganizani galimoto yodziyendetsa yokha pogwiritsa ntchito masomphenya apakompyuta kuti "awone" msewu ndi zonse zozungulira.
Imatha kuzindikira ndi kuyang'anira oyenda pansi, zikwangwani zamagalimoto, ndi magalimoto ena, kuwathandiza kuyenda bwino. Kapena ganizirani momwe ukadaulo wozindikira nkhope umagwiritsira ntchito mawonekedwe apakompyuta kuti atsegule mafoni athu am'manja kapena kutsimikizira kuti ndife ndani pozindikira mawonekedwe athu apadera ankhope.
Amagwiritsidwanso ntchito poyang'anira malo omwe ali ndi anthu ambiri ndikuwona zochitika zilizonse zokayikitsa.
Masomphenya a makompyuta ndi luso lamakono lomwe limatsegula dziko lazotheka. Mwa kupangitsa makompyuta kuti aziwona ndikumvetsetsa zowoneka bwino, titha kupanga mapulogalamu ndi machitidwe omwe amatha kuzindikira ndikutanthauzira dziko lotizungulira, kupangitsa moyo wathu kukhala wosavuta, wotetezeka, komanso wogwira ntchito bwino.
13. Wokambirana
Malo ochezera a pa Intaneti ali ngati pulogalamu ya pakompyuta imene imatha kulankhula ndi anthu m’njira yooneka ngati ndi nkhani yeniyeni ya anthu.
Nthawi zambiri amagwiritsidwa ntchito pothandizira makasitomala pa intaneti kuthandiza makasitomala ndikuwapangitsa kumva ngati akulankhula ndi munthu, ngakhale ndi pulogalamu yomwe ikuyenda pakompyuta.
Chatbot imatha kumvetsetsa ndikuyankha mauthenga kapena mafunso kuchokera kwa makasitomala, kupereka zidziwitso zothandiza komanso thandizo monga momwe woimira kasitomala amachitira.
14. Kuzindikira Mawu
Kuzindikira mawu kumatanthauza luso la makompyuta kuti limvetsetse ndi kumasulira zolankhula za anthu. Zimaphatikizapo luso lamakono limene limathandiza kompyuta kapena chipangizo “kumvetsera” mawu olankhulidwa ndi kuwasandutsa mawu kapena malamulo amene angamve.
ndi kuzindikira mawu, mutha kulumikizana ndi zida kapena mapulogalamu pongolankhula nawo m'malo molemba kapena kugwiritsa ntchito njira zina.
Dongosolo limasanthula mawu olankhulidwa, kuzindikira mawonekedwe ndi kamvekedwe, ndiyeno kuwamasulira kukhala mawu omveka kapena zochita. Zimalola kulankhulana mopanda manja komanso mwachilengedwe ndiukadaulo, kupanga ntchito ngati kulamula kwamawu, kulamula, kapena kulumikizana ndi mawu kutheka. Zitsanzo zodziwika bwino ndi othandizira AI monga Siri ndi Google Assistant.
15. Kusanthula Maganizo
Kusanthula kwamalingaliro ndi njira yomwe imagwiritsidwa ntchito kumvetsetsa ndi kutanthauzira malingaliro, malingaliro, ndi malingaliro omwe amafotokozedwa m'malemba kapena mawu. Kumaphatikizapo kusanthula chinenero cholembedwa kapena cholankhulidwa kuti tione ngati maganizowo ali abwino, oipa, kapena osaloŵererapo.
Pogwiritsa ntchito makina ophunzirira makina, ma aligorivimu osanthula malingaliro amatha kusanthula ndi kusanthula zambiri zamawu, monga kuwunika kwamakasitomala, zolemba zapa media media, kapena mayankho amakasitomala, kuti azindikire zomwe zili kumbuyo kwa mawuwo.
Ma algorithms amayang'ana mawu, ziganizo, kapena machitidwe omwe amawonetsa malingaliro kapena malingaliro.
Kusanthula uku kumathandiza mabizinesi kapena anthu kumvetsetsa momwe anthu amamvera pa chinthu, ntchito, kapena mutu ndipo angagwiritsidwe ntchito kupanga zisankho zoyendetsedwa ndi data kapena kudziwa zambiri zomwe makasitomala amakonda.
Mwachitsanzo, kampani imatha kugwiritsa ntchito kusanthula kwamaganizidwe kuti iwonetse kukhutira kwamakasitomala, kuzindikira madera omwe angasinthidwe, kapena kuyang'anira malingaliro a anthu pamtundu wawo.
16. Kumasulira Makina
Kumasulira kwamakina, munkhani ya AI, kumatanthawuza kugwiritsa ntchito ma aligorivimu apakompyuta ndi luntha lochita kupanga kumasulira zokha mawu kapena mawu kuchokera kuchilankhulo china kupita ku china.
Kumaphatikizapo kuphunzitsa makompyuta kuti amvetse ndi kukonza zinenero za anthu kuti azimasulira molondola. Chitsanzo chofala kwambiri ndi Mtambasulira wa Google.
Ndi zomasulira zamakina, mutha kulowetsa mawu kapena mawu muchilankhulo chimodzi, ndipo makinawo amasanthula zomasulira ndi kupanga zomasulira zofananira muchilankhulo china. Izi ndizothandiza makamaka polankhulana kapena kupeza zilankhulo zosiyanasiyana.
Makina omasulira pamakina amadalira malamulo osakanikirana azilankhulo, mitundu ya ziwerengero, ndi njira zophunzirira makina. Amaphunzira kuchokera kuzinthu zambiri za chinenero kuti awonjezere kulondola kwa zomasulira pakapita nthawi. Njira zina zomasulira zamakina zimaphatikizanso neural network kuti zomasulira zikhale zabwino kwambiri.
17. Maloboti
Ma robotiki ndi kuphatikiza kwa luntha lochita kupanga komanso uinjiniya wamakina kuti apange makina anzeru otchedwa maloboti. Malobotiwa amapangidwa kuti azigwira ntchito modzilamulira kapena mopanda kulowererapo kwa anthu.
Maloboti ndi zinthu zakuthupi zomwe zimatha kuzindikira chilengedwe chawo, kupanga zisankho motengera malingaliro awo, ndikuchita zochitika kapena ntchito zinazake.
Amakhala ndi masensa osiyanasiyana, monga makamera, maikolofoni, kapena masensa okhudza kukhudza, amene amawalola kusonkhanitsa uthenga wochokera kudziko lozungulira. Mothandizidwa ndi ma algorithms a AI ndi mapulogalamu, maloboti amatha kusanthula izi, kutanthauzira, ndikupanga zisankho zanzeru kuti agwire ntchito zomwe apatsidwa.
AI imatenga gawo lofunikira muzochita zama robotiki popangitsa maloboti kuti aphunzire kuchokera ku zomwe akumana nazo ndikuzolowera zochitika zosiyanasiyana.
Ma algorithms ophunzirira makina atha kugwiritsidwa ntchito pophunzitsa maloboti kuzindikira zinthu, kuyang'ana malo, kapena kucheza ndi anthu. Izi zimathandiza kuti maloboti akhale osinthika, osinthika, komanso otha kugwira ntchito zovuta.
18. Drones
Drones ndi mtundu wa loboti yomwe imatha kuwuluka kapena kuyendayenda mumlengalenga popanda munthu woyendetsa ndege. Amadziwikanso kuti ma unmanned aerial vehicles (UAVs). Ma Drones amakhala ndi masensa osiyanasiyana, monga makamera, GPS, ndi ma gyroscopes, omwe amawalola kusonkhanitsa deta ndikuyenda mozungulira.
Amayendetsedwa patali ndi munthu wogwiritsa ntchito kapena amatha kugwira ntchito mokhazikika pogwiritsa ntchito malangizo omwe adakonzedweratu.
Drones amagwira ntchito zosiyanasiyana, kuphatikizapo kujambula ndi mavidiyo amlengalenga, kufufuza ndi kupanga mapu, ntchito zoperekera, kufufuza ndi kupulumutsa anthu, kuyang'anira ulimi, komanso kugwiritsa ntchito zosangalatsa. Amatha kupita kumadera akutali kapena owopsa omwe ndi ovuta kapena owopsa kwa anthu.
19. Augmented Reality (AR)
Augmented Real (AR) ndiukadaulo womwe umaphatikiza dziko lenileni ndi zinthu zenizeni kapena chidziwitso kuti tipititse patsogolo kuzindikira kwathu komanso kulumikizana ndi chilengedwe. Imaphimba zithunzi, zomveka, kapena zomveka zina zopangidwa ndi makompyuta kudziko lenileni, ndikupanga chidziwitso chozama komanso cholumikizana.
Mwachidule, yerekezani kuvala magalasi apadera kapena kugwiritsa ntchito foni yamakono yanu kuti muwone dziko likuzungulirani, koma ndi zina zowonjezera zowonjezera.
Mwachitsanzo, mutha kuloza foni yanu yam'manja yam'misewu yamzindawu ndikuwona zikwangwani zowonetsa mayendedwe, mavoti, ndi ndemanga zamalesitilanti apafupi kapenanso anthu omwe akulumikizana ndi malo enieni.
Zinthu zowoneka bwinozi zimasakanikirana bwino ndi dziko lenileni, kumakulitsa kumvetsetsa kwanu ndi zomwe zikuzungulirani. Zowona zowonjezera zitha kugwiritsidwa ntchito m'magawo osiyanasiyana monga masewera, maphunziro, zomangamanga, komanso ngakhale ntchito zatsiku ndi tsiku monga kuyenda kapena kuyesa mipando yatsopano m'nyumba mwanu musanagule.
20. Virtual Reality (VR)
Zowona zenizeni (VR) ndiukadaulo womwe umagwiritsa ntchito zoyerekeza zopangidwa ndi makompyuta kuti zipange malo opangira omwe munthu angafufuze ndikulumikizana nawo. Imamiza wogwiritsa ntchito m'dziko lenileni, kutsekereza dziko lenileni ndikusintha ndi digito.
Mwachidule, yerekezani kuvala chomverera m'makutu chapadera chomwe chimaphimba maso ndi makutu anu ndikukutengerani kumalo osiyana kotheratu. M'dziko lamakonoli, zonse zomwe mumawona ndi kumva zimamveka zenizeni, ngakhale zimapangidwa ndi kompyuta.
Mutha kuyendayenda, kuyang'ana mbali iliyonse, ndikuyanjana ndi zinthu kapena zilembo ngati kuti zilipo.
Mwachitsanzo, mumasewera a zenizeni zenizeni, mutha kupeza kuti muli mkati mwa nyumba yachifumu yakale, momwe mungadutse makonde ake, kunyamula zida, ndikuchita ndewu ya lupanga ndi adani enieni. Malo enieni amayankha kumayendedwe anu ndi zochita zanu, zomwe zimakupangitsani kumva kuti ndinu omizidwa ndikuchita nawo zomwe mwakumana nazo.
Zowona zenizeni sizimangogwiritsidwa ntchito pamasewera komanso ntchito zina zosiyanasiyana monga zoyeserera kwa oyendetsa ndege, maopaleshoni, kapena asitikali, mayendedwe omanga, zokopa alendo, komanso ngakhale chithandizo chazovuta zamaganizidwe. Zimapangitsa kukhalapo komanso kutengera ogwiritsa ntchito kumayiko atsopano komanso osangalatsa, zomwe zimapangitsa kuti zochitikazo zikhale pafupi ndi zenizeni momwe zingathere.
21. Sayansi ya Data
Sayansi ya data ndi gawo lomwe limaphatikizapo kugwiritsa ntchito njira zasayansi, zida, ndi ma aligorivimu kuti atenge chidziwitso chofunikira ndi zidziwitso kuchokera mu data. Zimaphatikiza masamu, ziwerengero, mapulogalamu, ndi ukadaulo wa domain kuti muwunikire ma dataset akulu ndi ovuta.
M'mawu osavuta, sayansi ya data imakhudza kupeza zidziwitso zatanthauzo ndi machitidwe obisika mkati mwa data. Zimaphatikizapo kusonkhanitsa, kuyeretsa, ndi kukonza deta, kenaka kugwiritsa ntchito njira zosiyanasiyana kuzifufuza ndi kuzisanthula. Asayansi azidziwitso gwiritsani ntchito ziwerengero ndi ma algorithms kuti muvumbulutse zomwe zikuchitika, kulosera, ndikuthetsa mavuto.
Mwachitsanzo, pankhani yazaumoyo, sayansi ya data ingagwiritsidwe ntchito kusanthula zolemba za odwala ndi deta yachipatala kuti adziwe zomwe zimayambitsa matenda, kulosera zotsatira za odwala, kapena kukonza mapulani amankhwala. Mubizinesi, sayansi ya data itha kugwiritsidwa ntchito kwa kasitomala kuti amvetsetse zomwe amakonda, kupangira zinthu, kapena kukonza njira zotsatsira.
22. Kulimbana kwa Data
Kukangana kwa data, komwe kumadziwikanso kuti data munging, ndi njira yosonkhanitsa, kuyeretsa, ndikusintha data yaiwisi kukhala mawonekedwe omwe ndi othandiza komanso oyenera kuwunikira. Zimaphatikizapo kusamalira ndi kukonza deta kuti zitsimikizire mtundu wake, kusasinthasintha, ndi kugwirizana ndi zida zowunikira kapena zitsanzo.
M'mawu osavuta, kukangana kwa data kuli ngati kukonzekera zopangira kuphika. Zimaphatikizapo kusonkhanitsa deta kuchokera kuzinthu zosiyanasiyana, kuzikonza, ndi kuziyeretsa kuti muchotse zolakwika zilizonse, zosagwirizana, kapena zosafunikira.
Kuonjezera apo, deta ingafunike kusinthidwa, kusinthidwa, kapena kuphatikizidwa kuti zikhale zosavuta kugwira ntchito ndikuchotsamo zidziwitso.
Mwachitsanzo, kukangana kwa data kungaphatikizepo kuchotsa zobwereza, kukonza zolembedwa molakwika kapena zosintha, kuthana ndi zinthu zomwe zikusowa, ndikusintha mitundu ya data. Zingaphatikizeponso kuphatikiza kapena kulumikiza magulu osiyanasiyana a data palimodzi, kugawa data kukhala magawo ang'onoang'ono, kapena kupanga zosintha zatsopano kutengera zomwe zilipo kale.
23. Kufotokozera Nkhani
Kufotokozera nkhani Ndi luso lopereka deta m'njira yokakamiza komanso yopatsa chidwi kuti mulankhule bwino nkhani kapena uthenga. Zimaphatikizapo kugwiritsa ntchito Kuwonetseratu deta, nkhani, ndi nkhani kuti zipereke zidziwitso ndi zopeza m'njira yomveka komanso yosaiwalika kwa omvera.
M'mawu osavuta, kufotokoza nkhani ndi kugwiritsa ntchito deta pofotokoza nkhani. Zimapitilira kungowonetsa manambala ndi ma chart. Zimaphatikizapo kupanga nkhani mozungulira deta, kugwiritsa ntchito zinthu zowoneka ndi njira zofotokozera nkhani kuti deta ikhale yamoyo ndikupangitsa kuti ikhale yogwirizana ndi omvera.
Mwachitsanzo, m'malo mongopereka mndandanda wazogulitsa, kufotokoza nkhani kungaphatikizepo kupanga dashboard yolumikizana yomwe imalola ogwiritsa ntchito kuwona momwe malonda akugulidwira.
Ikhoza kuphatikizirapo nkhani yomwe ikuwonetsa zomwe zapezedwa, kufotokoza zifukwa zomwe zachitika, ndikupereka malingaliro otheka kutengera zomwe zapezeka.
24. Kupanga zisankho zoyendetsedwa ndi data
Kupanga zisankho zoyendetsedwa ndi deta ndi njira yopangira zisankho kapena kuchitapo kanthu potengera kusanthula ndi kutanthauzira kwa data yoyenera. Zimaphatikizapo kugwiritsa ntchito deta ngati maziko kutsogolera ndi kuthandizira popanga zisankho m'malo mongodalira nzeru kapena kulingalira kwanu.
M'mawu osavuta, kupanga zisankho motsogozedwa ndi data kumatanthauza kugwiritsa ntchito mfundo ndi umboni kuchokera mu data kuti tidziwitse ndi kuwongolera zisankho zomwe timapanga. Zimakhudzanso kusonkhanitsa ndi kusanthula deta kuti mumvetsetse machitidwe, machitidwe, ndi maubwenzi ndikugwiritsa ntchito chidziwitsocho kupanga zisankho zoyenera ndikuthetsa mavuto.
Mwachitsanzo, m'mabizinesi, kupanga zisankho motsogozedwa ndi data kungaphatikizepo kusanthula deta yamalonda, malingaliro amakasitomala, ndi mayendedwe amsika kuti adziwe njira yabwino kwambiri yamitengo kapena kuzindikira madera omwe angawongolere pakukula kwazinthu.
Pazachipatala, zingaphatikizepo kusanthula deta ya odwala kuti akwaniritse zolinga zachipatala kapena kulosera zotsatira za matenda.
25. Data Lake
A data Lake ndi malo omwe ali pakati komanso owerengeka omwe amasunga zidziwitso zambiri m'njira zake zosasinthika komanso zosakonzedwa. Amapangidwa kuti azigwira mitundu yosiyanasiyana ya data, mawonekedwe, ndi mawonekedwe, monga osanjika, osakhazikika, komanso osakhazikika, popanda kufunikira kwa zidziwitso kapena masinthidwe a data.
Mwachitsanzo, kampani ikhoza kusonkhanitsa ndi kusunga zidziwitso kuchokera kumalo osiyanasiyana, monga zolemba zamasamba, zochitika zamakasitomala, ma feed a media media, ndi zida za IoT, m'nyanja ya data.
Izi zitha kugwiritsidwa ntchito pazifukwa zosiyanasiyana, monga kusanthula kwapamwamba, kuchita ma aligorivimu pophunzira pamakina, kapena kuyang'ana momwe makasitomala amachitira.
26. Malo osungiramo data
Malo osungiramo zidziwitso ndi makina apadera a database omwe amapangidwa makamaka kuti asungidwe, kulinganiza, ndikuwunika kuchuluka kwa data kuchokera kuzinthu zosiyanasiyana. Zimapangidwa m'njira yomwe imathandizira kubweza bwino kwa data ndi mafunso ovuta kusanthula.
Imagwira ntchito ngati nkhokwe yapakati yomwe imagwirizanitsa deta kuchokera ku machitidwe osiyanasiyana ogwirira ntchito, monga nkhokwe zamalonda, machitidwe a CRM, ndi magwero ena a deta mkati mwa bungwe.
Zomwe zimasinthidwa, kutsukidwa, ndikulowetsedwa m'malo osungiramo zidziwitso m'njira yokonzedwa bwino kuti ifufuze.
27. Business Intelligence (BI)
Luntha lazamalonda limatanthawuza njira yosonkhanitsa, kusanthula, ndikupereka deta m'njira yomwe imathandiza mabizinesi kupanga zisankho zanzeru ndikupeza zidziwitso zofunikira. Zimaphatikizapo kugwiritsa ntchito zida zosiyanasiyana, matekinoloje, ndi njira zosinthira deta yosasinthika kukhala chidziwitso chatanthauzo, chotheka kuchitapo kanthu.
Mwachitsanzo, dongosolo lazanzeru zamabizinesi litha kusanthula deta yogulitsa kuti idziwe zopindulitsa kwambiri, kuyang'anira kuchuluka kwazinthu, ndikutsata zomwe makasitomala amakonda.
Itha kupereka zidziwitso zenizeni pazizindikiro zazikulu zantchito (KPIs) monga ndalama, kupeza makasitomala, kapena magwiridwe antchito, kulola mabizinesi kupanga zisankho zoyendetsedwa ndi data ndikuchita zoyenera kuti apititse patsogolo ntchito zawo.
Zida zanzeru zamabizinesi nthawi zambiri zimakhala ndi mawonekedwe monga kuwonera deta, kufunsa modzidzimutsa, komanso luso lofufuza deta. Zida izi zimathandiza ogwiritsa ntchito, monga ofufuza zamabizinesi kapena oyang'anira, kuti azitha kulumikizana ndi zomwe datayo, kudula ndikuidula, ndikupanga malipoti kapena mawonedwe omwe amawunikira zidziwitso zofunika ndi zomwe zikuchitika.
28. Maulosi Olosera
Kusanthula molosera ndi mchitidwe wogwiritsa ntchito deta ndi njira zowerengera kuti athe kulosera kapena kulosera zam'tsogolo zamtsogolo kapena zotsatira zake. Zimaphatikizapo kusanthula mbiri yakale, kuzindikira machitidwe, ndi kupanga zitsanzo kuti muwonjezere ndikuyerekeza zomwe zikuchitika m'tsogolomu, machitidwe, kapena zochitika.
Cholinga chake ndi kuwulula maubwenzi pakati pa zosinthika ndikugwiritsa ntchito chidziwitsocho kupanga zolosera. Imapitirira kungofotokoza zochitika zakale; m'malo, izo leverages mbiri deta kumvetsa ndi kuyembekezera zimene zingachitike m'tsogolo.
Mwachitsanzo, pankhani yazachuma, kusanthula kwamtsogolo kungagwiritsidwe ntchito kulosera katundu mitengo yotengera mbiri yakale ya msika, zizindikiro zachuma, ndi zina zofunika.
Pakutsatsa, zitha kugwiritsidwa ntchito kulosera zomwe makasitomala amakonda ndi zomwe amakonda, ndikupangitsa kutsatsa komwe kumatsata komanso kampeni yotsatsa makonda.
Mu chisamaliro chaumoyo, kusanthula molosera kungathandize kuzindikira odwala omwe ali pachiwopsezo chachikulu cha matenda ena kapena kuneneratu za mwayi wobwereranso kutengera mbiri yachipatala ndi zina.
29. Prescriptive Analytics
Prescriptive analytics ndikugwiritsa ntchito deta ndi ma analytics kuti mudziwe zomwe mungachite bwino kwambiri pazochitika zinazake kapena popanga zisankho.
Imapita mopitirira kufotokoza ndi zowonongeka posangopereka zidziwitso za zomwe zingachitike m'tsogolo komanso kulimbikitsa njira yabwino kwambiri yopezera zotsatira zomwe mukufuna.
Zimaphatikiza mbiri yakale, zitsanzo zolosera, ndi njira zowonjezera kuti zitsatire zochitika zosiyanasiyana ndikuwunika zotsatira zomwe zingatheke pazisankho zosiyanasiyana. Imaganizira zopinga zingapo, zolinga, ndi zinthu zomwe zingapangire malingaliro otheka kuti awonjezere zotsatira zomwe mukufuna kapena kuchepetsa zoopsa.
Mwachitsanzo, mu magulidwe akatundu kasamalidwe, ma analytics okhazikika amatha kusanthula deta pamilingo yazinthu, mphamvu zopangira, mtengo wamayendedwe, komanso kufunikira kwamakasitomala kuti adziwe dongosolo logawa bwino kwambiri.
Ikhoza kulangiza kugawidwa kwabwino kwazinthu, monga malo osungiramo katundu kapena mayendedwe, kuti achepetse ndalama ndikuwonetsetsa kutumizidwa panthawi yake.
30. Kutsatsa koyendetsedwa ndi data
Kutsatsa koyendetsedwa ndi data kumatanthawuza mchitidwe wogwiritsa ntchito deta ndi analytics kuyendetsa njira zotsatsira, kampeni, ndi kupanga zisankho.
Zimaphatikizapo kugwiritsa ntchito magwero osiyanasiyana a data kuti mudziwe zambiri zamakasitomala, zomwe amakonda, ndi zomwe amakonda komanso kugwiritsa ntchito chidziwitsocho kuti mukwaniritse zotsatsa.
Imayang'ana kwambiri kusonkhanitsa ndi kusanthula deta kuchokera kumalo angapo okhudza, monga kuyanjana kwa webusayiti, zochitika zapa social media, kuchuluka kwamakasitomala, mbiri yogula, ndi zina zambiri. Deta iyi imagwiritsidwa ntchito popanga kumvetsetsa bwino kwa omvera, zomwe amakonda, ndi zosowa zawo.
Pogwiritsa ntchito deta, otsatsa amatha kupanga zisankho zodziwika bwino pazagawidwe lamakasitomala, kulunjika, ndikusintha makonda.
Amatha kuzindikira magawo enaake amakasitomala omwe amatha kuyankha bwino pamakampeni otsatsa ndikusintha mauthenga awo ndikuwapatsa moyenerera.
Kuphatikiza apo, kutsatsa koyendetsedwa ndi data kumathandizira kukhathamiritsa njira zotsatsira, kuzindikira kusakanikirana kothandiza kwambiri kwamalonda, ndikuyesa kupambana kwazomwe zatsatsa.
Mwachitsanzo, njira yotsatsira yomwe imayendetsedwa ndi deta ingaphatikizepo kusanthula deta yamakasitomala kuti azindikire momwe amagulira ndi zomwe amakonda. Kutengera izi, otsatsa amatha kupanga makampeni omwe akuwunikiridwa ndi zomwe amakonda komanso zotsatsa zomwe zimagwirizana ndi magawo enaake amakasitomala.
Kupyolera mu kusanthula kosalekeza ndi kukhathamiritsa, amatha kuyeza mphamvu ya malonda awo ndikukonzanso njira pakapita nthawi.
31. Ulamuliro wa Deta
Ulamuliro wa data ndi dongosolo ndi machitidwe omwe mabungwe amatengera kuti awonetsetse kasamalidwe koyenera, chitetezo, ndi kukhulupirika kwa deta m'moyo wake wonse. Zimaphatikizapo ndondomeko, ndondomeko, ndi ndondomeko zomwe zimayendetsa momwe deta imasonkhanitsira, kusungidwa, kufika, kugwiritsidwa ntchito, ndi kugawidwa m'gulu.
Cholinga chake ndi kukhazikitsa kuyankha, udindo, ndi kuyang'anira katundu wa data. Imawonetsetsa kuti deta ndi yolondola, yathunthu, yosasinthasintha, komanso yodalirika, zomwe zimathandiza mabungwe kupanga zisankho mwanzeru, kusunga ukhondo wa data, ndi kukwaniritsa zofunikira pakuwongolera.
Ulamuliro wa deta umaphatikizapo kufotokozera maudindo ndi maudindo a kasamalidwe ka deta, kukhazikitsa miyezo ndi ndondomeko za deta, ndi kukhazikitsa njira zowunikira ndi kulimbikitsa kutsatiridwa. Imayankhulira mbali zosiyanasiyana za kasamalidwe ka data, kuphatikiza zinsinsi za data, chitetezo cha data, mtundu wa data, gulu la data, ndi kasamalidwe ka moyo wa data.
Mwachitsanzo, kasamalidwe ka data kangaphatikizepo kukhazikitsa njira zowonetsetsa kuti zinthu zanu kapena zachinsinsi zikusamalidwa motsatira malamulo achinsinsi, monga General Data Protection Regulation (GDPR).
Zingaphatikizeponso kukhazikitsa miyezo yamtundu wa data ndikukhazikitsa njira zotsimikizira kuti deta ndi yolondola komanso yodalirika.
32. Chitetezo Chachidziwitso
Chitetezo cha data ndi kuteteza chidziwitso chathu chofunikira kuti zisapezeke kapena kubedwa. Zimaphatikizapo kuchitapo kanthu pofuna kuteteza chinsinsi cha deta, kukhulupirika, ndi kupezeka.
Kwenikweni, zikutanthauza kuonetsetsa kuti anthu oyenerera okha ndi omwe angapeze deta yathu, kuti ikhale yolondola komanso yosasinthika, komanso kuti ipezeke pakafunika.
Kuti akwaniritse chitetezo cha data, njira zosiyanasiyana ndi matekinoloje amagwiritsidwa ntchito. Mwachitsanzo, njira zowongolera mwayi wopezeka ndi kubisa zimathandizira kuchepetsa mwayi wopezeka kwa anthu ovomerezeka kapena makina, zomwe zimapangitsa kuti zikhale zovuta kwa anthu akunja kupeza deta yathu.
Njira zowunikira, zotchingira zozimitsa moto, ndi njira zozindikirira anthu akulowa zimagwira ntchito ngati alonda, zomwe zimatichenjeza za zochitika zokayikitsa ndikuletsa kulowa mosaloledwa.
33 Intaneti ya Zinthu
Intaneti ya Zinthu (IoT) imatanthawuza maukonde a zinthu zakuthupi kapena "zinthu" zomwe zimalumikizidwa ndi intaneti ndipo zimatha kulumikizana wina ndi mnzake. Zili ngati ukonde waukulu wa zinthu zatsiku ndi tsiku, zida, ndi makina omwe amatha kugawana zambiri ndikuchita ntchito polumikizana kudzera pa intaneti.
M'mawu osavuta, IoT imaphatikizapo kupatsa mphamvu "zanzeru" kuzinthu zosiyanasiyana kapena zida zomwe nthawi zambiri sizimalumikizidwa ndi intaneti. Zinthuzi zingaphatikizepo zida zapakhomo, zida zovala, zotenthetsera, magalimoto, ngakhale makina akumafakitale.
Mwa kulumikiza zinthuzi ku intaneti, amatha kusonkhanitsa ndikugawana deta, kulandira malangizo, ndikuchita ntchito mwadzidzidzi kapena potsatira malamulo a ogwiritsa ntchito.
Mwachitsanzo, chotenthetsera chanzeru chimatha kuyang'anira kutentha, kusintha masinthidwe, ndi kutumiza malipoti ogwiritsira ntchito mphamvu ku pulogalamu ya smartphone. Chovala cholondola cholimbitsa thupi chimatha kusonkhanitsa zomwe mumachita ndikuzigwirizanitsa ndi nsanja yokhazikika pamtambo kuti iwunikenso.
34. Mtengo Wosankha
Mtengo wachisankho ndi chithunzi chowonetsera kapena chithunzi chomwe chimatithandizira kupanga zisankho kapena kudziwa njira yochitira zinthu motengera zosankha kapena mikhalidwe.
Zili ngati tchati chomwe chimatitsogolera popanga zisankho poganizira zosankha zosiyanasiyana komanso zotsatira zake.
Tangoganizani kuti muli ndi vuto kapena funso, ndipo muyenera kusankha.
Mtengo wachisankho umagawa chiganizocho kukhala masitepe ang'onoang'ono, kuyambira ndi funso loyamba ndikugawa mayankho osiyanasiyana zotheka kapena zochita kutengera momwe zinthu ziliri kapena zofunikira pagawo lililonse.
35. Cognitive Computing
Makompyuta ozindikira, m'mawu osavuta, amatanthauza makina apakompyuta kapena matekinoloje omwe amatsanzira luso la kuzindikira laumunthu, monga kuphunzira, kulingalira, kumvetsetsa, ndi kuthetsa mavuto.
Zimaphatikizapo kupanga makina apakompyuta omwe amatha kukonza ndi kumasulira nkhani mofanana ndi maganizo a anthu.
Computing yachidziwitso ikufuna kupanga makina omwe amatha kumvetsetsa ndikulumikizana ndi anthu mwachilengedwe komanso mwanzeru. Makinawa apangidwa kuti azisanthula deta yochuluka, kuzindikira mawonekedwe, kulosera, ndi kupereka zidziwitso zomveka.
Ganizirani zaukadaulo wamakompyuta ngati kuyesa kupanga makompyuta kuganiza ndikuchita ngati anthu.
Zimaphatikizapo matekinoloje ogwiritsira ntchito monga luntha lochita kupanga, kuphunzira pamakina, kukonza zilankhulo zachilengedwe, ndi masomphenya apakompyuta kuti makompyuta azigwira ntchito zomwe nthawi zambiri zimagwirizanitsidwa ndi luntha laumunthu.
36. Chiphunzitso cha Computational Learning
Computational Learning Theory ndi nthambi yapadera yomwe ili mkati mwa nzeru zopangapanga yomwe imayang'ana pakupanga ndikuwunika ma algorithms opangidwa makamaka kuti aphunzire kuchokera ku data.
Gawoli limawunika njira ndi njira zingapo zopangira ma algorithms omwe amatha kuwongolera magwiridwe antchito awo posanthula ndikusintha zidziwitso zambiri.
Pogwiritsa ntchito mphamvu ya data, Computational Learning Theory ikufuna kuvumbulutsa machitidwe, maubwenzi, ndi zidziwitso zomwe zimathandiza makina kupititsa patsogolo luso lawo lopanga zisankho ndikuchita ntchito moyenera.
Cholinga chachikulu ndicho kupanga ma algorithms omwe amatha kusintha, kusinthiratu, ndikulosera molondola potengera zomwe zawonetsedwa, zomwe zimathandizira kupititsa patsogolo luntha lochita kupanga komanso kugwiritsa ntchito kwake.
37. Mayeso a Turing
Mayeso a Turing, omwe poyamba adaperekedwa ndi katswiri wamasamu komanso wasayansi wamakompyuta Alan Turing, ndi lingaliro lopatsa chidwi lomwe limagwiritsidwa ntchito kuwunika ngati makina amatha kuwonetsa machitidwe anzeru ofanana, kapena osadziwika bwino, amunthu.
Mu mayeso a Turing, wowunika wamunthu amakambirana chilankhulo chachilengedwe ndi makina komanso munthu wina wotenga nawo mbali popanda kudziwa kuti ndi makina ati.
Udindo wa wowunika ndikuzindikira kuti ndi makina ati omwe ali makinawo potengera mayankho awo. Ngati makinawa amatha kutsimikizira woyesayo kuti ndi mnzake wamunthu, ndiye kuti akuti adapambana mayeso a Turing, potero akuwonetsa luntha lomwe limawonetsa kuthekera kwamunthu.
Alan Turing adapereka mayesowa ngati njira yowunikira lingaliro lanzeru zamakina ndikufunsa ngati makina amatha kuzindikira bwino anthu.
Polemba mayesowo molingana ndi kusazindikirika kwa anthu, Turing adawonetsa kuthekera kwa makina kuti aziwonetsa machitidwe omwe ali anzeru kwambiri kotero kuti zimakhala zovuta kuwasiyanitsa ndi anthu.
Mayeso a Turing adayambitsa zokambirana ndi kafukufuku wambiri pankhani ya luntha lochita kupanga komanso sayansi yakuzindikira. Ngakhale kupambana mayeso a Turing kumakhalabe gawo lofunika kwambiri, sikuti ndi nzeru yokhayo.
Komabe, kuyesaku kumagwira ntchito ngati chizindikiro chopatsa chidwi, cholimbikitsa kuyesetsa kosalekeza kupanga makina omwe amatha kutengera luntha ndi machitidwe a anthu ndikuthandizira pakuwunika mozama tanthauzo la kukhala wanzeru.
38. Kulimbikitsa Kuphunzira
Zolimbikitsa kuphunzira ndi mtundu wa maphunziro omwe amachitika kudzera mu mayesero ndi zolakwika, pamene "othandizira" (omwe angakhale pulogalamu ya pakompyuta kapena loboti) amaphunzira kugwira ntchito mwa kulandira mphotho chifukwa cha khalidwe labwino ndikukumana ndi zotsatira kapena zilango za khalidwe loipa.
Tangoganizirani zochitika pamene wothandizira akuyesera kuti amalize ntchito inayake, monga kuyendetsa maze. Poyamba, wothandizira sadziwa njira yoyenera, motero amayesa zochita zosiyanasiyana ndikufufuza njira zosiyanasiyana.
Ikasankha chinthu chabwino chomwe chimapangitsa kuti chiyandikire cholingacho, imalandira mphotho, monga "kupatira kumbuyo". Komabe, ngati ipanga chisankho cholakwika chomwe chimatsogolera ku imfa kapena kuchichotsa ku cholingacho, chimalandira chilango kapena malingaliro oipa.
Kupyolera mu njira iyi yoyesera ndi zolakwika, wothandizira amaphunzira kugwirizanitsa zochita zina ndi zotsatira zabwino kapena zoipa. Imawerengera pang'onopang'ono njira yabwino kwambiri yopezera mphotho zake ndikuchepetsa zilango, pamapeto pake kukhala waluso pantchitoyo.
Kuphunzira kulimbikitsana kumatenga chilimbikitso kuchokera ku momwe anthu ndi nyama amaphunzirira polandira mayankho kuchokera ku chilengedwe.
Pogwiritsa ntchito lingaliro ili pamakina, ochita kafukufuku akufuna kupanga machitidwe anzeru omwe angaphunzire ndikusintha kuti agwirizane ndi zochitika zosiyanasiyana podzipeza yekha makhalidwe abwino kwambiri pogwiritsa ntchito njira yolimbikitsira komanso zotsatira zoipa.
39. Kutulutsa Kwagulu
Kuchotsa zinthu kumatanthawuza njira yomwe timazindikira ndikuchotsa zidziwitso zofunika, zomwe zimadziwika kuti mabungwe, kuchokera m'mawu. Mabungwewa akhoza kukhala zinthu zosiyanasiyana monga mayina a anthu, mayina a malo, mayina a mabungwe, ndi zina zotero.
Tiyerekeze kuti muli ndi ndime yofotokoza nkhani yankhani.
Kuchotsa gulu kungaphatikizepo kusanthula mawuwo ndikusankha tinthu tambiri tomwe timayimira magulu osiyana. Mwachitsanzo, ngati malembawo atchula dzina la munthu ngati "John Smith," malo "New York City," kapena bungwe la "OpenAI," awa angakhale mabungwe omwe tikufuna kuwazindikira ndi kuchotsa.
Pochita kutulutsa zinthu, timaphunzitsa pulogalamu yapakompyuta kuzindikira ndikulekanitsa zofunikira palemba. Njira imeneyi imatithandiza kulinganiza ndi kugawa zambiri bwino, kupangitsa kuti kusaka mosavuta, kusanthula, ndi kupeza zidziwitso kuchokera kuzinthu zambiri zamalemba.
Ponseponse, kutulutsa kwazinthu kumatithandiza kuti tizitha kuzindikira zinthu zofunika, monga anthu, malo, ndi mabungwe, m'mawuwo, kuwongolera kachulukidwe kachidziwitso chofunikira ndikukulitsa luso lathu lokonza ndikumvetsetsa zomwe zalembedwa.
40. Kafotokozedwe ka Chiyankhulo
Kafotokozedwe ka zilankhulo kumaphatikizapo kulemeretsa mawu ndi chidziwitso chowonjezera cha chilankhulo kuti tithandizire kumvetsetsa kwathu ndi kusanthula chilankhulo chomwe timagwiritsa ntchito. Zili ngati kuwonjezera zilembo kapena ma tag othandiza mbali zosiyanasiyana za mawu.
Tikamatanthauzira zilankhulo, timadutsa mawu ofunikira ndi ziganizo m'mawu ndikuyamba kulemba kapena kuyika zinthu zinazake. Mwachitsanzo, titha kuwonjezera ma tag a mawu, omwe amawonetsa gulu la galamala la liwu lililonse (monga dzina, mneni, adjective, etc.). Izi zimatithandiza kumvetsetsa udindo wa liwu lililonse mu sentensi.
Mawu ena azilankhulo amatchedwa kuzindikira zamagulu, pomwe timazindikira ndi kulemba mayina a anthu, malo, mabungwe, kapena masiku. Izi zimatithandiza kupeza mwamsanga ndi kuchotsa mfundo zofunika palembalo.
Pofotokozera malemba m'njira izi, timapanga chithunzithunzi chokonzekera bwino cha chinenerocho. Izi zitha kukhala zothandiza kwambiri pamagwiritsidwe osiyanasiyana. Mwachitsanzo, zimathandizira kulondola kwa injini zosaka pomvetsetsa zomwe ogwiritsa ntchito akufuna. Imathandizanso pakumasulira kwamakina, kusanthula malingaliro, kuchotsa zidziwitso, ndi ntchito zina zambiri zokonza zilankhulo zachilengedwe.
Mawu ofotokozera zilankhulo amagwira ntchito ngati chida chofunikira kwambiri kwa ofufuza, akatswiri a zinenero, ndi okonza, kuwapangitsa kuphunzira zinenero, kupanga zitsanzo za zilankhulo, ndi kupanga ma algorithms apamwamba omwe angathe kusanthula bwino ndi kumvetsa malemba.
41. Hyperparameter
In makina kuphunzira, hyperparameter ili ngati malo apadera kapena masinthidwe omwe tiyenera kusankha tisanaphunzitse chitsanzo. Sichinthu chomwe chitsanzochi chingaphunzire pachokha kuchokera ku deta; m'malo mwake, tiyenera kudziwiratu.
Ganizirani izi ngati mfundo kapena kusintha komwe tingathe kusintha kuti tisinthe bwino momwe chitsanzocho chimaphunzirira ndikulosera. Ma hyperparameters awa amayendetsa mbali zosiyanasiyana za maphunziro, monga zovuta za chitsanzo, kuthamanga kwa maphunziro, ndi kusinthanitsa pakati pa kulondola ndi kukhazikika.
Mwachitsanzo, tiyeni tiganizire za neural network. Mmodzi wofunikira hyperparameter ndi kuchuluka kwa zigawo mu netiweki. Tiyenera kusankha momwe timafunira kuti intaneti ikhale yozama, ndipo chisankho ichi chimakhudza luso lake lojambula machitidwe ovuta mu deta.
Ma hyperparameters ena odziwika bwino amaphatikizapo kuchuluka kwa maphunziro, komwe kumatsimikizira momwe fanizoli limasinthira mwachangu magawo ake amkati kutengera zomwe zaphunzitsidwa, komanso mphamvu yokhazikika, yomwe imawongolera kuchuluka kwa momwe chitsanzocho chimalangira machitidwe ovuta kuti apewe kuchulukirachulukira.
Kukhazikitsa ma hyperparameterwa moyenera ndikofunikira chifukwa kumatha kukhudza kwambiri machitidwe ndi machitidwe achitsanzo. Nthawi zambiri imaphatikizapo kuyesa ndi kulakwitsa pang'ono, kuyesa ndi zinthu zosiyanasiyana ndikuwona momwe zimakhudzira machitidwe a chitsanzo pa dataset yovomerezeka.
42. Metadata
Metadata imatanthawuza zina zowonjezera zomwe zimapereka zambiri za data ina. Zili ngati ma tag kapena zilembo zomwe zimatipatsa nkhani zambiri kapena kufotokoza mawonekedwe a data yayikulu.
Tikakhala ndi data, kaya ndi chikalata, chithunzi, kanema, kapena chidziwitso china chilichonse, metadata imatithandiza kumvetsetsa mbali zofunika za datayo.
Mwachitsanzo, mu chikalata, metadata imatha kukhala ndi zambiri monga dzina la wolemba, tsiku lomwe idapangidwa, kapena mtundu wamafayilo. Pankhani ya chithunzi, metadata ingatiuze komwe idajambulidwa, makonzedwe a kamera omwe adagwiritsidwa ntchito, ngakhale tsiku ndi nthawi yomwe idajambulidwa.
Metadata imatithandiza kukonza, kufufuza, ndi kumasulira bwino kwambiri. Powonjezera zidziwitso zofotokozerazi, titha kupeza mafayilo enieni mwachangu kapena kumvetsetsa komwe adachokera, cholinga chawo, kapena nkhani zawo popanda kusanthula zonse zomwe zili.
43. Kuchepetsa Dimensionality
Kuchepetsa dimensionality ndi njira yomwe imagwiritsidwa ntchito kupangitsa seti kukhala yosavuta pochepetsa kuchuluka kwa zinthu zomwe zilimo. Zili ngati kufupikitsa kapena kufotokoza mwachidule zomwe zili mu dataset kuti zizitha kutha komanso zosavuta kuzigwira.
Tangoganizani kuti muli ndi gulu la data lomwe lili ndi mizati yambiri kapena mawonekedwe omwe akuyimira mawonekedwe osiyanasiyana a data. Chigawo chilichonse chimawonjezera zovuta komanso zofunikira pakuwerengera makina ophunzirira makina.
Nthawi zina, kukhala ndi miyeso yambiri kumatha kupangitsa kuti zikhale zovuta kupeza njira kapena maubale ofunikira mu data.
Kuchepetsa kukula kumathandizira kuthana ndi vutoli posintha deta kuti ikhale yocheperako kwinaku ndikusunga zambiri zofunikira momwe zingathere. Cholinga chake ndi kujambula zinthu zofunika kwambiri kapena kusiyanasiyana kwa deta kwinaku mukutaya zosafunikira kapena zodziwitsa zambiri.
44. Gulu la Malemba
Kugawa zolemba ndi njira yomwe imaphatikizapo kugawa zilembo kapena magulu enaake ku midadada ya zolemba kutengera zomwe zili kapena tanthauzo. Zili ngati kusanja kapena kuyika zolemba m'magulu kapena makalasi osiyanasiyana kuti muthandizire kusanthula kapena kupanga zisankho.
Tiyeni tiganizire chitsanzo cha magulu a imelo. Munkhaniyi, tikufuna kudziwa ngati imelo yomwe ikubwera ndi sipamu kapena sipamu (yomwe imadziwikanso kuti ham). Gulu la malemba ma aligorivimu amasanthula zomwe zili mu imeloyo ndikuziyika chizindikiro moyenerera.
Ngati ma algorithm atsimikiza kuti imeloyo ikuwonetsa zinthu zomwe nthawi zambiri zimagwirizanitsidwa ndi sipamu, imalemba kuti "spam." Mosiyana ndi zimenezo, ngati imelo ikuwoneka ngati yovomerezeka komanso yopanda spammy, imalemba kuti "non-spam" kapena "ham."
Magulu a malemba amapeza ntchito m'madomeni osiyanasiyana kupitilira kusefa maimelo. Amagwiritsidwa ntchito posanthula malingaliro kuti adziwe momwe makasitomala amamvera (zabwino, zoipa, kapena zandale).
Nkhani zitha kugawidwa m'magulu osiyanasiyana monga masewera, ndale, zosangalatsa, ndi zina. Makasitomala ocheza nawo amatha kugawidwa malinga ndi cholinga kapena nkhani yomwe ikuyankhidwa.
45. AI yofooka
AI yofooka, yomwe imadziwikanso kuti AI yopapatiza, imatanthawuza machitidwe anzeru ochita kupanga omwe amapangidwa ndikukonzedwa kuti agwire ntchito kapena ntchito zinazake. Mosiyana ndi luntha laumunthu, lomwe limaphatikizapo luso lazidziwitso zambiri, AI yofooka imangokhala pagawo linalake kapena ntchito.
Ganizirani za AI yofooka ngati mapulogalamu apadera kapena makina omwe amachita bwino kwambiri pogwira ntchito zinazake. Mwachitsanzo, pulogalamu ya AI yosewera chess ikhoza kupangidwa kuti iwunike momwe masewerawa akuyendera, kukonza njira zosunthika, ndikupikisana ndi osewera aumunthu.
Chitsanzo china ndi njira yozindikiritsa zithunzi yomwe imatha kuzindikira zinthu pazithunzi kapena makanema.
Makina a AI awa amaphunzitsidwa ndikuwongoleredwa kuti apambane pamagawo awo apadera aukadaulo. Amadalira ma aligorivimu, deta, ndi malamulo ofotokozedweratu kuti akwaniritse ntchito zawo moyenera.
Komabe, alibe luntha wamba lomwe limawalola kumvetsetsa kapena kugwira ntchito kunja kwa malo omwe asankhidwa.
46. AI yamphamvu
AI Yamphamvu, yomwe imadziwikanso kuti General AI kapena Artificial General Intelligence (AGI), imatanthawuza mtundu wanzeru zopanga zomwe zimatha kumvetsetsa, kuphunzira, ndikuchita ntchito iliyonse yanzeru yomwe munthu angathe.
Mosiyana ndi AI yofooka, yomwe imapangidwira ntchito zinazake, AI yamphamvu imafuna kubwereza luntha laumunthu ndi luso la kuzindikira. Imayesetsa kupanga makina kapena mapulogalamu omwe samangopambana pa ntchito zapadera komanso amakhala ndi chidziwitso chochulukirapo komanso kusinthika kuti athe kuthana ndi zovuta zambiri zanzeru.
Cholinga cha AI yamphamvu ndikupanga machitidwe omwe amatha kulingalira, kumvetsetsa zambiri zovuta, kuphunzira kuchokera pazomwe adakumana nazo, kuchita nawo zokambirana zamalankhulidwe achilengedwe, kuwonetsa luso, ndikuwonetsa mikhalidwe ina yokhudzana ndi luntha laumunthu.
M'malo mwake, ikufuna kupanga machitidwe a AI omwe amatha kutengera kapena kutengera malingaliro amunthu ndikuthana ndi mavuto m'magawo angapo.
47. Unyolo Patsogolo
Forward chaining ndi njira yoganizira kapena logic yomwe imayamba ndi zomwe zilipo ndikuzigwiritsa ntchito kupanga malingaliro ndikupeza mfundo zatsopano. Zili ngati kulumikiza madontho pogwiritsa ntchito chidziwitso chomwe chilipo kuti mupite patsogolo ndikufikira zidziwitso zina.
Tangoganizani kuti muli ndi malamulo kapena mfundo, ndipo mukufuna kupeza zatsopano kapena kupeza mfundo zenizeni potengera iwo. Forward chaining imagwira ntchito powunika zomwe zidayambira ndikugwiritsa ntchito malamulo omveka kuti apange mfundo zina kapena ziganizo.
Kuti tifewetse, tiyeni tilingalire chitsanzo chosavuta chodziŵira zovala zoyenera kutengera nyengo. Muli ndi lamulo lakuti, “Ngati kugwa mvula, bweretsani ambulera,” ndi lamulo lina loti “Ngati kukuzizira, valani jekete.” Tsopano, ngati muwona kuti kugwa mvula, mutha kugwiritsa ntchito unyolo wakutsogolo kuganiza kuti mubweretse ambulera.
48. Kubwerera Mmbuyo
Kubwerera m'mbuyo ndi njira yolingalira yomwe imayamba ndi mawu omaliza kapena cholinga chomwe mukufuna ndikubwerera m'mbuyo kuti mudziwe zofunikira kapena mfundo zofunika kutsimikizira mfundoyo. Zili ngati kutsatira njira zanu kuchokera pa zomwe mukufuna kupita ku zomwe mukufuna kuti mukwaniritse.
Kuti timvetse unyolo wakumbuyo, tiyeni tione chitsanzo chophweka. Tiyerekeze kuti mukufuna kudziwa ngati n’koyenera kusambira. Mfundo yofunikira ndi yakuti kusambira ndi koyenera kapena ayi kutengera mikhalidwe ina.
M'malo moyambira ndi zikhalidwe, unyolo wam'mbuyo umayamba ndi mapeto ndikugwira ntchito kumbuyo kuti upeze deta yothandizira.
Pankhaniyi, kubwezera kumbuyo kungaphatikizepo kufunsa mafunso monga "Kodi nyengo ndi yofunda?" Ngati yankho liri inde, mungafunse kuti, “Kodi dziwe lilipo?” Ngati yankho lilinso inde, mungafunsenso mafunso ena monga akuti, “Kodi pali nthawi yokwanira yokasambira?”
Mwa kuyankha mobwereza bwereza mafunsowa ndi kubwerera m’mbuyo, mukhoza kudziwa zofunikira zomwe zikuyenera kukumana kuti mutsirize mapeto a kusambira.
49. Wokhulupirira
A heuristic, m'mawu osavuta, ndi lamulo lothandiza kapena njira yomwe imatithandiza kupanga zisankho kapena kuthetsa mavuto, nthawi zambiri kutengera zomwe takumana nazo m'mbuyomu kapena chidziwitso. Zili ngati njira yachidule ya m'maganizo yomwe imatilola kuti tipeze yankho loyenera popanda kutenga nthawi yayitali kapena yotopetsa.
Mukakumana ndi zovuta kapena ntchito, ma heuristics amagwira ntchito ngati mfundo zowongolera kapena "malamulo apamanja" omwe amathandizira kupanga zisankho. Amatipatsa malangizo kapena njira zomwe nthawi zambiri zimakhala zogwira mtima nthawi zina, ngakhale sizingatsimikizire njira yabwino.
Mwachitsanzo, tiyeni tilingalire njira yopezera malo oimikapo magalimoto pamalo odzaza anthu. M'malo mosanthula mozama malo aliwonse omwe alipo, mutha kudalira kufunafuna magalimoto oyimitsidwa ndi injini zawo zikuyenda.
Heuristic iyi imaganiza kuti magalimotowa atsala pang'ono kuchoka, ndikuwonjezera mwayi wopeza malo omwe alipo.
50. Chikhalidwe cha Chinenero Chachilengedwe
Kujambula chinenero chachilengedwe, m'mawu osavuta, ndi njira yophunzitsira makompyuta kuti amvetsetse ndi kupanga chinenero cha anthu mofanana ndi momwe anthu amalankhulirana. Zimaphatikizapo kuphunzitsa makompyuta kukonza, kumasulira, ndi kupanga malemba mwachibadwa komanso momveka bwino.
Cholinga cha chilankhulo chachilengedwe ndikupangitsa makompyuta kuti azitha kumvetsetsa ndi kupanga chilankhulo cha anthu m'njira yomveka bwino, yogwirizana, komanso yogwirizana ndi zochitika.
Zimakhudzanso zitsanzo zophunzitsira pamawu ambiri, monga mabuku, zolemba, kapena zokambirana, kuti aphunzire kalembedwe, kapangidwe kake, ndi semantics ya chilankhulo.
Akaphunzitsidwa, zitsanzozi zimatha kugwira ntchito zosiyanasiyana zokhudzana ndi zilankhulo, monga kumasulira chilankhulo, chidule cha mawu, kuyankha mafunso, kulumikizana ndi ma chatbot, ndi zina zambiri.
Amatha kumvetsetsa tanthauzo la ziganizo, kuchotsa zidziwitso zoyenera, ndikupanga mawu olondola mwagalamala komanso ogwirizana.
Siyani Mumakonda