Ukwanda kwesidingo se-Artificial Intelligence kwenze kwadingeka ukuthi kuqashwe inani elandayo lonjiniyela, abacwaningi, nabahleli bohlelo. Akunakwenzeka ukucabangela ubukhona ngaphandle komthelela noma umnikelo we-AI. I-AI itholakala yonke indawo, kusukela ekusesheni imisebenzi kuya ekutholweni kwemeyili kagaxekile, ukwabelana ngokugibela ukuya ekuxhumekeni ezinkundleni zokuxhumana, futhi yenza izimpilo zethu zibe ngcono futhi zibe lula.
I-AI ingasiza inkampani yakho ukuthi yonge isikhathi nemali ngokuzenzakalela futhi ithuthukise izinqubo ezijwayelekile. Uma i-AI isikhona, ungaqiniseka ukuthi leyo misebenzi izoqedwa ngokushesha, ngokunembe, nangokwethembeka kunalokho umuntu obengakwenza. Kodwa-ke, ukuze ufake i-AI ezinhlelweni nasezinsizeni zenkampani yakho, uzodinga abathuthukisi be-software abakwaziyo ukwenza kanjalo.
Ngaphezu kwalokho, labo bathuthukisi bazodinga ukujwayelana nezilimi ze-AI ezihamba phambili. Ulimi ngalunye lunesethi yalo yamandla nemikhawulo, kanye nezici ezihlukile. Kukuwe ukunquma ukuthi yiziphi izici ezifanele kakhulu izidingo zakho.
Ake siqale futhi sibheke ezinye zezilimi eziphezulu zokuhlela ze-AI.
1. Python
I-Python iwulimi lokuhlela olusezingeni eliphezulu, olutolikiwe, olugxile entweni olugcizelela izimiso zokufundeka kwekhodi nokuba lula. Njengamanje, ungase ucabange ngePython njengesandulela sazo zonke ezinye izilimi. I-syntax elula yePython inesibopho sokukhuphuka kwayo kwe-meteoric ekudumeni. Ngaphezu kwalokho, i-syntax emfushane ikuvumela ukuthi uchithe isikhathi esiningi uthuthukisa ukwakheka okuyisisekelo, okwenza iPython ibe yisinqumo esihle kakhulu sezinqubo Zokufunda Ngomshini.
Ubungane bePython bubaluleke kakhulu kunanoma yini enye ekwenzeni kube inketho ekhethwa kakhulu phakathi konjiniyela be-AI. Noma kunjalo, isezingeni eliphezulu futhi isetshenziswa kabanzi ulimi lokuhlela olukwazi izinqubo eziyinkimbinkimbi okwehlukene kwemisebenzi nezinkundla.
Mayelana nobuchwepheshe bamanje, isizathu esibaluleke kakhulu sokuthi iPython ivamise ukuba phezulu ukuthi izinhlaka ezithize ze-AI zakhiwe ngolimi. I-TensorFlow, ikhithi yamathuluzi yomthombo ovulekile eyakhelwe ikakhulukazi umshini wokufunda ongasetshenziselwa ukujula inethiwekhi ye-neural ukuqeqeshwa kanye nencazelo, ingenye ethandwa kakhulu. Phakathi kwezinye izinhlaka ze-AI-centric yilezi:
- scikit-funda - Umtapo wolwazi wePython wokuqeqeshwa amamodeli wokufunda wemishini.
- UKeras iyisixhumi esibonakalayo sokuhlela sezibalo eziyinkimbinkimbi zezibalo.
- I-PyTorch iwumtapo wezincwadi wePython wokucutshungulwa kolimi olubonakalayo nolwemvelo.
- Theano iphakethe elikuvumela ukuthi uchaze, ulungiselele, futhi uhlole izinkulumo zezibalo.
2. C ++
I-C++ isandiso solimi lwekhompyutha esingase sisetshenziselwe ukudala amanethiwekhi we-neural. Ijubane le-C++ liyinzuzo ebaluleke kakhulu njengoba ukuthuthukiswa kwe-AI kudinga ukubala okuyinkimbinkimbi, futhi lolu limi lungasheshisa izibalo. Inokulawula inkumbulo yezinga eliphansi futhi isekela izinhlelo zokusebenza eziphoqelekile zempahla, izinhlelo zokusebenza ezibucayi, njalonjalo.
I-C++ ine-syntax eyinkimbinkimbi kodwa ibiza kancane kunezinye izilimi ezifana ne-Java. I-C++ ingase isetshenziswe ezinhlelweni zobuhlakani bokwenziwa ukuze kuthuthukiswe injini yokusesha kanye nezinga.
Esinye sezizathu zalokhu ukuguquguquka okubanzi kolimi, okulenza lifaneleke ezinhlelweni ezisetshenziswa kakhulu izinsiza. I-C++ iwulimi lohlelo olusezingeni eliphansi oluthuthukisa ukuphathwa kwemodeli ye-AI ekukhiqizeni. Futhi, nakuba i-C++ ingase ingabi inketho yokuqala kubahleli bezinhlelo ze-AI, kubalulekile ukuqaphela ukuthi izinhlaka eziningi zokufunda ezijulile nemishini zenziwa ku-C++.
I-TensorFlow, uhlaka lokufunda lomshini oludume kakhulu, lwabhalwa nge-C++. Iphinde yasetshenziselwa ukwakha i-Convolutional Architecture yokushumeka kwesici esisheshayo uhlaka lokufunda olujulile (Ikhefi).
3. R Ulimi Lokuhlela
Ulimi oluvamile olusetshenziswa kakhulu, futhi lwaklanyelwe ngokuyinhloko ukuhlaziya izibalo nokuboniswa kwedatha eyisithombe. Iwulimi lokuhlela oludumile phakathi kwabavukuzi bedatha kanye nezibalo. Ingumthombo ovulekile futhi inomphakathi omkhulu we-AI. I-R isebenza ngokuphawulekayo ocwaningweni lwe-Artificial Intelligence oluhlanganisa ukuhlaziywa kochungechunge lwesikhathi, ukuhlola kwezibalo, ukumodela okuqondile nokungaqondile, kanye nokuhlanganisa.
Ulimi luthambekele entweni, luyanwebeka, futhi luvumela izinto ukuthi zisetshenziswe ezinye izilimi. Ukusebenza kahle kwe-R ekucubunguleni nasekuhlaziyeni idatha kungenye yezinzuzo zayo ezibaluleke kakhulu. Iphinde inamakhono amahle kakhulu wokushaja. R, ngakolunye uhlangothi, kunzima ukufunda. Iyavilapha futhi inamaphutha ezokuphepha.
Amaphakheji anwetshiwe kufanele acatshangelwe ngaphezu kwamakhono avamile we-R. Packages njenge-Gmodels, RODBC, OneR, kanye ne-Tm ahlinzeka ngosekelo olubanzi lwemisebenzi Yokufunda Ngomshini. Uma usuqale ukufunda, uzobona ukuthi izibalo ziyisisekelo se-AI ne-ML. Isimo somthombo ovulekile sika-R sibonisa ukuthi kumahhala ukusetshenziswa. Inesisekelo somsebenzisi esikhulu.
4. I-JAVA
Ulimi lohlelo lweJava lusezingeni eliphezulu, inhloso ejwayelekile, uHlelo oluqondiswe entweni ulimi. I-syntax ye-Java iqhathaniswa naleyo yezilimi ze-C no-C++; kodwa-ke, i-Java ihloselwe ukuthi izimele futhi inokuncika okuncane. I-JAVA ngokungangabazeki iwulimi olusetshenziswa kakhulu emhlabeni ukwenza imisebenzi eyahlukene, i-AI ingenye yayo.
Ukuba khona kwe-Virtual Machine Technology kuyinzuzo ebaluleke kakhulu yokusebenzisa ulimi lokuhlela lwe-JAVA. Yini ngempela eyenziwa yi-JVM? Nokho, i-Java Virtual Machine yenza inqubo yokuqalisa ibe lula, ikugcinele isikhathi namandla ekuhlanganiseni uhlelo ngokuphindaphindiwe.
I-Big Data ne-AI kuxhumene ngendlela engenakuhlukaniswa, futhi izinhlaka ze-Big Data ezigqame kakhulu, njenge-Fink, i-Hadoop, i-Hive, ne-Spark, zabhalwa nge-Java. Iphinde ihlinzeke ngenani lezinhlaka zokuthuthukisa i-AI, okuhlanganisa i-Weka, i-Java-ML, i-H2O, i-DeepLearning4j, ne-MOA, i-OenNLP, i-Kubeflow, umtapo wezincwadi we-Deep Java, i-Neuroph.
5. Scala
I-Scala iwulimi lohlelo oluthayiphiwe ngokwezibalo, olusezingeni eliphezulu, oluqondiswe entweni, futhi lusebenza. Yakhiwe ngenhloso yokuvuna izinzuzo ze-Java ngenkathi inciphisa amanye amaphutha ayo. I-Scala idale indlela engcono yokwakha isofthiwe ehlakaniphile isebenzisa imvelo ye-Java Virtual Machine (JVM). Ihambisana ne-Java ne-JavaScript, futhi yenza ukuthuthukiswa kube lula, kusheshe, futhi kukhiqize kakhudlwana
I-Scala isibe ingxenye ebalulekile yezinhlelo zokuhlaziya idatha njenge-Apache Flink, i-Apache Spark, i-Apache Kafka, ne-Akka Stream ngenxa yalezi zici. Izithiyo eziyinhloko ze-Scala zifaka ukuntuleka kokusekelwa komphakathi, ukutholwa okulinganiselwe, izithiyo zokubuyela emuva, kanye nejika lokufunda eliphezulu.
I-Breeze iyithuluzi lokufunda lomshini elidume kakhulu le-Scala. Lo mtapo wolwazi uhlanganisa ukusebenza kukaMatlab kanye nomtapo wezincwadi we-Python's NumPy. Kuvele ekuhlanganisweni kwamaphrojekthi we-ScalaNLP kanye ne-Scala. I-Breeze ihlanganisa amakhono amaningi okubala adingekayo ukuze kudalwe amasistimu e-AI amanje.
6. Julia
U-Julia ngomunye umkhiqizo osezingeni eliphezulu ongakakutholi ukuqashelwa noma ukwesekwa komphakathi owufanele. Noma kunjalo, izici zayo azidumazi. Lolu limi lokuhlela luwusizo emisebenzini eyahlukene, kodwa ludlula izinombolo nokuhlaziya idatha.
U-Julia ngomunye umkhiqizo osezingeni eliphezulu ongakakutholi ukuqashelwa noma ukwesekwa komphakathi owufanele. Noma kunjalo, izici zayo azidumazi. Lolu limi lokuhlela luwusizo emisebenzini eyahlukene, kodwa ludlula izinombolo nokuhlaziya idatha.
U-Julia uhlinzeka ngama-DataFrames ukuze abhekane namasethi edatha futhi enze izinguquko ezivamile zedatha ukuze kuhlaziywe izibalo nesayensi yedatha. Amaphakheji we-JuliaGraphs akuvumela ukuthi usebenze nedatha ehlanganisiwe. U-Julia usebenza kahle ngemininingwane yolwazi esebenzisa abashayeli be-JDBC, i-ODBC, kanye ne-Spark. Iwulimi olufanele lokudala Ukufunda Okujulile ikhodi ku-backend. I-jl ne-Flux.jl ingowokuzalwa kuka-Julia, amathuluzi aqine ngokwedlulele Okufunda Ngomshini Nobuhlakani Obuzenzele.
7. HLALANI
I-Rust iwulimi lokuhlela olune-multi-paradigm olubeka phambili isivinini, ukuphepha, nokuvumelana. I-Rust ine-syntax efana ne-C++, nakuba ivikeleke kakhulu kwimemori. Izikhombi ezingenalutho, izinkomba ezilengayo, nemijaho yedatha akuvunyelwe. Inkumbulo nezinye izinsiza zisingathwa kusetshenziswa indlela ekhethekile enikeza ukuphathwa okubikezelwayo ngokuphezulu okuncane, kunokuqoqwa kukadoti okuzenzakalelayo.
Kunhlolovo yonjiniyela yaminyaka yonke ye-StackOverflow, ulimi lokuhlela lomthombo ovulekile luqanjwe njengoludume kakhulu. Amabhizinisi amaningi e-IT asebenzisa imigomo ye-Rust kumaphrojekthi awo. IMicrosoft isebenzise izimiso zeRust kuphrojekthi yayo ye-Verona yomthombo ovulekile. Ukugqwala kuthathwa njengolimi lokuhlola uhlelo oluphephile lwengqalasizinda.
Ukugqwala kuwulimi oluyinselelo yokufunda njengoba ludinga ukuqonda imibono yokuhlela egxile entweni. Ine-compiler evilaphayo kanye namafayela kanambambili amakhulu njengomphumela. Kukhona nje imitapo yolwazi yomshini embalwa ethuthukiswe ngokusobala eRust. Nokho, izibopho eziningi ezivamile ukufunda imishini izinhlaka, ezifana ne-PyTorch noma i-TensorFlow, ziyatholakala kubathuthukisi.
8. ukufefeza
Kusukela ngeminyaka yawo-1960, i-Lisp ibisetshenziswa kabanzi ocwaningweni lwesayensi emikhakheni yezilimi zemvelo, ubufakazi be-theorem, kanye nesixazululo sezinkinga ze-Artificial Intelligence. I-Lisp ekuqaleni yayiklanywe njengolimi lwezibalo olusebenzayo lokuhlela, kodwa yasheshe yaba inketho edumile phakathi konjiniyela be-AI.
Okubaluleke nakakhulu, umdali we-Lisp (John McCarthy) wayengumuntu omkhulu emkhakheni we-AI, futhi umsebenzi wakhe omningi wawusetshenziswe isikhathi eside.
Isisusa esiyinhloko sokuthuthukisa i-Lisp kwakuwukusungula ukumelela okusebenzayo kwezibalo ngekhodi. Ngenxa yale nzuzo engaphakathi, isheshe yaba ulimi olukhethwayo ocwaningweni lwe-AI. Imiqondo eminingi yesayensi yekhompyutha, njengokuphindaphinda, izakhiwo zedatha yesihlahla, nokuthayipha okuguquguqukayo, kwasungulwa ku-Lisp.
I-Lisp isebenza ngendlela emangalisayo futhi inika amandla ukwenziwa kohlelo olusheshayo. Izinhlelo ze-Lisp zincane, ziyashesha ukuklama, zisebenza ngokushesha, futhi kulula ukuzinakekela kuno C++ noma Java izicelo.
9. Isingeniso
I-Prolog, enye yezilimi zokuqala zokuhlela, iwuhlaka oluyinkimbinkimbi olusebenza ngezinto ezintathu: amaqiniso, imithetho, nezinjongo. Umthuthukisi kufanele akhombe zontathu izingcezu ngaphambi kokuthi i-Prolog yakhe ubudlelwano phakathi kwabo ukuze kufinyelelwe esiphethweni esithile ngokuhlola amaqiniso nemithetho.
I-Prolog iyakwazi ukuqonda nokuqhathanisa amaphethini, ithole futhi ihlele idatha ngokunengqondo, futhi ihlehlise ngokuzenzakalelayo inqubo yokuthola indlela engcono. Sekukonke, ukusetshenziswa okungcono kakhulu kwalolu limi ku-AI ukuxazulula izinkinga, lapho i-Prolog ibheka isixazululo-noma ezimbalwa.
Ngenxa yalokho, isetshenziswa kuma-chatbots nabasizi ababonakalayo njenge-IBM's Watson. I-Prolog ingase ingafani noma ilula ukuyisebenzisa njengePython noma iJava, nokho ingase ibe usizo impela. I-Prolog isetshenziselwe ukuthuthukisa imitapo yolwazi eminingi ye-AI. I-Zamia-AI, isibonelo, iwuhlaka oluhlinzeka ngezingxenye namathuluzi okuthuthukiswa kwenkulumo yomthombo ovulekile kanye nezinhlelo zokucubungula ulimi lwemvelo.
I-Prolog-based ukufunda imishini amaphakheji we-mlu, i-cplint, kanye nedathasethi ye-cplint nawo awusizo kakhulu ekwakheni ubuhlakani bokwenziwa.
Isiphetho
Ukuhlanganisa isoftware ye-AI endaweni yebhizinisi eseyihlukene vele kudinga ukusetshenziswa kohlu lwe amathuluzi wokuhlela, njengezilimi eziningana, izinhlaka, nemitapo yolwazi. Lobu buchwepheshe buvamise ukudinga amadigri obuhlakani nobungcweti obungavamile.
Zonke izilimi ezishiwo ngenhla ziyizinketho ezinhle kakhulu zamaphrojekthi we-Artificial Intelligence. Kumane kuyindaba yokukhetha iphrojekthi elungele izidingo zakho. Ngokuqonda okuyisisekelo kwephrojekthi, ungakhetha ulimi olufanele kakhulu futhi wandise ukusebenza kahle kwenkampani yakho. Sikufisela inhlanhla ngephrojekthi yakho elandelayo ye-AI!
shiya impendulo