Zviri Mukati[Viga][Ratidza]
Kuwedzera kwekudiwa kweArtificial Intelligence kwave kuda kuhaya nhamba iri kuwedzera yeinjiniya, vaongorori, uye vanogadzira zvirongwa. Hazvibviri kufunga kuvapo pasina kukanganisa kana mupiro weAI. AI inowanikwa kwese, kubva pakutsvaga basa kusvika pakuona tsamba dzespam, kukwira kugovera kune social media network, uye iri kuita kuti hupenyu hwedu huve nani uye nyore.
AI inogona kubatsira kambani yako kuchengetedza nguva nemari nekuita otomatiki uye nekuvandudza maitiro enguva dzose. Kana AI yave panzvimbo, unogona kuva nechivimbo chekuti zviitwa izvozvo zvichapedzwa nekukurumidza, nemazvo, uye nekuvimbika kupfuura zvingaitwa nemunhu. Nekudaro, kuti ubatanidze AI muhurongwa hwekambani yako nemasevhisi, iwe unozoda vanogadzira software vanokwanisa kuzviita.
Uyezve, ivo vanogadzira vanozoda kujairana nemitauro yakanakisa yeAI. Mutauro woga woga une gadziriro yawo pachayo yesimba neganhuriro, pamwe chete nounhu hwakasiyana. Zviri kwauri kuti uone kuti ndeapi maficha anonyatso kuenderana nezvaunoda.
Ngatitangei uye titarise mimwe mitauro yepamusoro yekuronga yeAI.
1. Python
Python mutauro wepamusoro-soro, wakadudzirwa, wakanangana nechinhu unosimbisa zvibodzwa zvekuverenga kodhi uye nyore. Parizvino, unogona kufunga nezvePython semutangiri wemimwe mitauro yese. Python's simple syntax inokonzera kusimuka kwayo kwemeteoric mukuzivikanwa. Uyezve, iyo yakapfupika syntax inokutendera iwe kuti upedze nguva yakawandisa uchigadzira iyo yakakosha chimiro, zvichiita kuti Python ive sarudzo yakanakisa yeMashini Kudzidza maitiro.
Python's mushandisi-ushamwari hwakakosha kupfuura chero chinhu mukuita iyo inonyanya kufarirwa sarudzo pakati peAI mainjiniya. Zvisineyi, ndeyepamusoro-kuita uye inoshandiswa zvakanyanya programming mutauro unokwanisa nzira dzakaoma kunzwisisa kumabasa akasiyana-siyana uye mapuratifomu.
Panyaya yetekinoroji yazvino, chikonzero chakanyanya kukosha Python inowanzova pamusoro ndechekuti AI-chaiwo masisitimu akavakirwa mutauro. TensorFlow, yakavhurika-sosi toolkit yakagadzirirwa kunyanya kudzidza yemuchina inogona kushandiswa kudzika neural network kudzidziswa uye kufungidzira, ndeimwe yeanonyanya kufarirwa. Pakati pemamwe maAI-centric masisitimu ndeaya:
- scikit-dzidza -raibhurari yePython yekudzidziswa michina yekudzidza mamodheru.
- Keras is a programming interface yeakaoma masvomhu kuverenga.
- PyTorch iraibhurari yePython yekuona uye yakasikwa mutauro kugadzirisa.
- Theano Ipakeji inobvumidza iwe kutsanangura, kukwenenzvera, uye kuongorora mataurirwo emasvomhu.
2. C ++
C++ ndeyekuwedzera kwemutauro wekombuta inogona kushandiswa kugadzira neural networks. Iko kumhanya kweC ++ ndiyo yakanyanya kukosha mukana sezvo kusimudzira kweAI kuchida computations yakaoma, uye mutauro uyu unogona kukurumidzira kuverenga. Iyo ine yakaderera-level yekudzora ndangariro uye inotsigira asset-inomanikidzwa zvikumbiro, kuita-yakakosha maapplication, zvichingodaro.
C++ ine syntax yakaoma asi isingadhure pane mimwe mitauro yakaita seJava. C++ inogona kushandiswa mukugadzira njere hurongwa hwekutsvaga injini optimization uye chinzvimbo.
Chimwe chezvikonzero zveizvi ndiko kuchinjika kwemutauro, izvo zvinoita kuti uve wakakodzera kune-zvishandiso-zvakawanda zvekushandisa. C ++ mutauro wepasi-pamwero wekuronga unovandudza manejimendi eiyo AI modhi mukugadzira. Uye, nepo C++ ingasava yekutanga sarudzo yeAI programmers, zvakakosha kuziva kuti akawanda akadzika uye emuchina ekudzidza masisitimu anogadzirwa muC ++.
TensorFlow, iyo inonyanya kufarirwa muchina kudzidza sisitimu, yakanyorwa muC++. Yakashandiswawo kuvaka Convolutional Architecture yeFast Feature Embedding hurongwa hwekudzidza hwakadzama (Kafe).
3. R Kuronga Mutauro
R ndiwo unonyanya kushandiswa mutauro wakajairwa, uye wakagadzirirwa kunyanya kuongorora nhamba uye kuratidzwa kwedata. Iro mutauro wepurogiramu wakakurumbira pakati pe data miners uye statisticians. Iyo yakavhurika-sosi uye ine yakakura AI nharaunda. R inoshanda zvakanyanya kuArtificial Intelligence tsvagiridzo inosanganisira yenguva yekuongorora, kuongororwa kwenhamba, mutsara uye isina mutsara modhi, uye kubatanidza.
Mutauro unotariswa pane chimwe chinhu, unotambanuka, uye unobvumira zvinhu kuti zvishandiswe nemimwe mitauro. R's kunyatsoita mukugadzirisa data uye kuongorora ndeimwe yemabhenefiti ayo akakosha. Iyo ine zvakare yakanakisa charting hunyanzvi. R, kune rumwe rutivi, zvakaoma kudzidza. Iyo ine usimbe uye ine kuchengeteka kukanganisa.
Iwo mapakeji akawedzerwa anofanirwa kutariswa kupfuura kugona kwakajairwa kweR. Packages seGmodels, RODBC, OneR, uye Tm inopa rutsigiro rwakakura rweMashini Kudzidza mashandiro. Kana wangotanga kudzidza, uchaona kuti nhamba ndiyo hwaro hweAI neML. R's open-source status inoratidza kuti yakasununguka kushandisa. Iyo ine yakakura mushandisi base.
4. JAVA
Mutauro wechirongwa cheJava ndeyepamusoro-nhanho, chinangwa-chakawanda, chirongwa chakanangana nechinhu mutauro. Syntax yeJava inofananidzwa neyeC uye C ++ mitauro; zvisinei, Java inoitirwa kuzvimiririra uye ine zvishoma zvinotsamira. JAVA ndiyo ine nharo mutauro unonyanya kushandiswa pasirese kune akasiyana mabasa, AI iri imwe yacho.
Kuvapo kweVirtual Machine Technology ndiyo yakanyanya kukosha mukana wekushandisa iyo JAVA programming mutauro. Chii chaizvo chinoita JVM? Zvakanaka, iyo Java Virtual Machine inorerutsa maitiro ekuita, ichikuchengetera nguva uye simba kubva pakuunganidza iyo application kakawanda.
Big Data neAI zvakabatana zvisingaite, uye akanyanya mukurumbira Big Data masisitimu, akadai saFink, Hadoop, Hive, uye Spark, akanyorwa muJava. Inopawo akati wandei eAI ekusimudzira masisitimu, anosanganisira Weka, Java-ML, H2O, DeepLearning4j, uye MOA, OenNLP, Kubeflow, Yakadzika Java raibhurari, Neuroph.
5. Scala
Scala mutauro wekuronga uyo wakadhindwa, wepamusoro-soro, wakatarisana nechinhu, uye unoshanda. Yakagadzirwa nechinangwa chekukohwa mabhenefiti eJava uku ichidzikisa kumwe kukanganisa kwayo. Scala yakagadzira nzira iri nani yekuvaka yakangwara software uchishandisa iyo Java Virtual Machine (JVM) nharaunda. Inofambirana neJava neJavaScript, uye inoita kuti budiriro ive nyore, inokurumidza, uye inobudirira
Scala yave chinhu chakakosha chekuongorora data masisitimu akadai seApache Flink, Apache Spark, Apache Kafka, uye Akka Stream semhedzisiro yehunhu uhu. Zvipingamupinyi zvikuru zveScala zvinosanganisira kushomeka kwerutsigiro rwenharaunda, kurerwa kushoma, zvipingaidzo zvekudzokera kumashure, uye curve yekudzidza yakakwirira.
Breeze ndiyo inonyanya kufarirwa muchina kudzidza chishandiso cheScala. Raibhurari iyi inosanganisa mashandiro aMatlab uye raibhurari yePython's NumPy. Yakasimuka kubva mukubatanidzwa kweScalaNLP uye Scala mapurojekiti. Breeze inosanganisira akawanda emakomputa ehunyanzvi anodiwa kugadzira ikozvino AI masisitimu.
6. Julia
Julia ndechimwe chigadzirwa chepamusoro-chepamusoro icho chisati chawana kuzivikanwa kana kutsigirwa nenharaunda kwainokodzera. Kunyange zvakadaro, maitiro ayo haaodze mwoyo. Mutauro wechirongwa uyu unobatsira kumabasa akasiyana siyana, asi unokunda panhamba nekuongorora data.
Julia ndechimwe chigadzirwa chepamusoro-chepamusoro icho chisati chawana kuzivikanwa kana kutsigirwa nenharaunda kwainokodzera. Kunyange zvakadaro, maitiro ayo haaodze mwoyo. Mutauro wechirongwa uyu unobatsira kumabasa akasiyana siyana, asi unokunda panhamba nekuongorora data.
Julia anopa maDataFrames ekubata nedataset uye kuitisa akajairwa dhata shanduko yekuongororwa kwenhamba uye sainzi yedata. JuliaGraphs mapakeji anotendera iwe kuti ushande ne combinatorial data. Julia anoshanda nemazvo nemadhatabhesi achishandisa JDBC, ODBC, uye Spark vatyairi. Ndiwo mutauro wakanakira kugadzira Deep Learning kodhi pane backend. jl uye Flux.jl ndiJulia-wekuzvarwa, maturusi akasimba zvakanyanya eKudzidza kweMichina uye Artificial Intelligence.
7. NGURA
Rust imitauro yakawanda-paradigm programming inoisa pamberi kumhanya, kuchengeteka, uye concurrency. Rust ine syntax inofananidzwa neC ++, kunyangwe iri yakanyanya kuchengetedzeka mundangariro. Null anonongedzera, anorembera anonongedzera, uye mijaho yedata hazvibvumidzwe. Memory nezvimwe zviwanikwa zvinobatwa pachishandiswa yakasarudzika nzira inopa fungidziro yekutarisira ine zvishoma pamusoro, pane kuburikidza nekuunganidza marara otomatiki.
Muongororo yegore negore yeStackOverflow yekuvandudza, iyo yakavhurika-sosi programming mutauro yakanzi ndiyo inonyanya kufarirwa. Mazhinji mabhizinesi eIT anoshandisa Rust nheyo mumapurojekiti avo. Microsoft yakashandisa Rust misimboti mune yayo yakavhurika-sosi Verona chirongwa. Ngura inoonekwa semutauro wekuyedza kune yakachengeteka zvirongwa zvehurongwa.
Ngura mutauro unonetsa kudzidza sezvo ichida nzwisiso yemazano ekugadzirisa zvinhu. Iyo ine usimbe compiler uye hombe binary mafaera semhedzisiro. Pane angori mashoma emaraibhurari ekudzidza emuchina akagadzirwa zvakajeka muRust. Nekudaro, akawanda anosunga kune common machine learning mafuremu, akadai sePyTorch kana TensorFlow, anowanikwa kune vanogadzira.
8. chirimi
Kubva kuma1960s, Lisp yakashandiswa zvakanyanya pakudzidza kwesainzi muzvidzidzo zvemitauro yechisikigo, humbowo hwe theorem, uye mhinduro yeArtificial Intelligence nyaya. Lisp yakatanga kugadzirwa semutauro wemasvomhu unoshanda wechirongwa, asi yakakurumidza kuve sarudzo yakakurumbira pakati pevagadziri veAI.
Zvinotonyanya kukosha, musiki weLisp (John McCarthy) aive munhu mukuru mumunda weAI, uye rakawanda rebasa rake rakanga raitwa kwenguva refu.
Chikonzero chikuru chekugadzira Lisp yaive yekumisikidza inogoneka yemasvomhu inomiririra mukodhi. Nekuda kweiyi mukana wemukati, yakakurumidza kuve mutauro wesarudzo wekutsvaga kweAI. Mazhinji emakomputa sainzi pfungwa, senge recursion, miti data zvimiro, uye ine simba kutaipa, akagadzirwa muLisp.
Lisp inoshanda zvinoshamisa uye inogonesa kukurumidza kuita chirongwa. Zvirongwa zveLisp zvidiki, zvinokurumidza kugadzira, kuita nekukurumidza, uye zviri nyore kuchengetedza pane C++ kana Java mafomu.
9. Nhanganyaya
Prolog, imwe yemitauro yekutanga yekuronga, igadziriso yakaoma inoshanda nezvinhu zvitatu: chokwadi, mitemo, uye zvinangwa. Mugadziri anofanirwa kuona ese matatu zvidimbu Prolog isati yagadzira hukama pakati pavo kuti iwane mhedziso chaiyo nekuongorora chokwadi nemitemo.
Prolog inokwanisa kunzwisisa uye kuenzanisa mapatani, kutsvaga uye kuronga data zvine musoro, uye otomatiki kudzosera maitiro ekutsvaga nzira iri nani. Pakazere, iko kushandiswa kwakanyanya kwemutauro uyu muAI ndeyekugadzirisa matambudziko, uko Prolog inotsvaga mhinduro-kana akati wandei.
Nekuda kweizvozvo, inoshandiswa mumachatbots uye chaiwo vabatsiri senge IBM's Watson. Prolog inogona kunge isiri yakasiyana kana nyore kushandisa sePython kana Java, asi inogona kunyatso batsira. Prolog yakashandiswa kugadzira akati wandei eAI raibhurari. Zamia-AI, semuenzaniso, dhizaini inopa zvikamu uye zvishandiso zvekuvandudza-yakavhurika-sosi kutaura uye echisikigo masisitimu ekugadzirisa mutauro.
The Prolog-based machine learning mapakeji mlu, cplint, uye cplint datasets zvakare anobatsira zvakanyanya pakuvaka hungwaru hwekugadzira.
mhedziso
Kubatanidza AI software mune yakatosiyana bhizinesi nharaunda inoda kushandiswa kweakasiyana zvishandiso zvehurongwa, zvakadai semitauro inoverengeka, marongero, uye maraibhurari. Aya matekinoroji anowanzo kuda madhigirii ehunyanzvi uye hunyanzvi.
Yese yemitauro yataurwa pamusoro isarudzo dzakanakisa dzeArtificial Intelligence mapurojekiti. Ingori nyaya yekusarudza chirongwa chakanakira zvaunoda. Nekunzwisisa kwekutanga kwepurojekiti, unogona kusarudza mutauro wakanyatsokodzera uye kuwedzera kushanda kwekambani yako. Rombo rakanaka neinotevera AI chirongwa!
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