10 "Yakanakisa" Muchina Kudzidza Zvitupa (Chivabvu 2024)

Sezvo hungwaru hwekugadzira (AI) huchienderera mberi nekushandura zvikamu zvakawanda, iyo yakakosha ndima yekudzidza yemuchina inokwira mukukosha. Nekuda kweizvi, pane kudiwa kukuru kwevakuru vebhizinesi kuti vanzwisise kukosha kweAI uye kuti inoshanda sei kune bhizinesi, pamwe nemashandisirwo e data.

Tichifunga zvese izvi, chitupa chekudzidza muchina chinogona kuvhura windows yemukana. Kune vaverengi vari kutsvaga zvidzidzo mukukodha vanofanirwa kushanyira yedu Python uye Tensorflow makosi.

Heano kutarisa kune epamusoro muchina kudzidza zvitupa:

1. MIT Sloan Artificial Intelligence: Zvinorehwa neBusiness Strategy

Kutarisa vatariri vebhizinesi, kosi iyi ine varairidzi ve2 uye inotungamirwa naDaniela Rus, Rus ndiye Andrew (1956) naErna Viterbi Purofesa weMagetsi Engineering neComputer Science uye director weComputer Science uye Artificial Intelligence Laboratory (CSAIL) kuMIT. Anoshanda semutungamiriri weToyota-CSAIL Joint Research Center uye inhengo yedare rezano resainzi reToyota Research Institute.

Murairidzi wechipiri ndiThomas Malone, Malone purofesa weruzivo tekinoroji uye zvidzidzo zvesangano paMIT Sloan Chikoro cheManagement. Tsvagiridzo yake inotarisisa kuti masangano matsva anogona kugadzirwa sei kutora mukana wemikana inopihwa nehunyanzvi hweruzivo. Bhuku rake idzva, Superminds, yakaonekwa muna Chivabvu 2018. Ane zvibvumirano gumi nerimwe, akatanga pamwe chete makambani matatu esoftware, uye anotorwa muzvinyorwa zvakawanda senge. upfumi, ivo New York Times, uye Wired.

Kubva pane ino kosi iwe uchaenda kure neanotevera hunyanzvi:

• Iyo inoshanda inodzika muhungwaru hwekugadzira (AI) uye mashandisirwo ayo ebhizinesi, ichikushongedza iwe neruzivo uye chivimbo chaunoda shandura sangano rako kuva kambani ine zvinhu zvitsva, inoshanda, uye inoenderera mberi yeramangwana.
• Kugona kutungamirira ruzivo, hurongwa hwekuita sarudzo uye kuwedzera bhizinesi kuita nekubatanidza akakosha eAI manejimendi uye hutungamiriri humbowo munzira inoshanda nesangano rako.
• Maonero ane simba maviri kubva kuzvikoro zviviri zveMIT - iyo MIT Sloan Chikoro cheManejimendi uye MIT Computer Science uye Artificial Intelligence Laboratory - inokupa iwe nzwisiso yekunzwisisa yeAI tekinoroji kuburikidza nebhizinesi lenzi.

2. Oxford Artificial Intelligence

Kosi yakagadzirwa nechinangwa chekugonesa iwe kuti unzwisise AI, kugona kwayo kwebhizinesi, uye mikana yekuitwa kwayo.

Iyi kosi inotungamirwa naMatthias Holweg, Matthias iinjiniya akadzidziswa maindasitiri uye anofarira magadzirirwo emasangano nekuchengetedza maitiro-ekuvandudza maitiro. Tsvagiridzo yake inotarisana nekushanduka-shanduka uye kuchinjika kwemaitiro-ekuvandudza nzira sezvavari kushandiswa mukugadzira, sevhisi, hofisi, uye veruzhinji.

Nechidzidzo ichi iwe uchave nekunzwisisa kwezvinotevera zvakakosha:

• Iko kugona kuona uye kuongorora mikana yeAI musangano rako uye kuvaka bhizinesi kesi yekuitwa kwayo.
• Kunzwisisa kwakasimba kweiyo tekinoroji kuseri kweAI senge Kudzidza kwemichina, kudzidza kwakadzama, neural network, uye algorithms.
• Insight kubva kuOxford Saïd faculty uye nyanzvi dzakawanda dzeindasitiri, zvichikubatsira kukudziridza maonero ane ruzivo nezveAI uye yayo. magariro netsika.
• Kunzwisisa kwemamiriro ezvinhu eAI, nhoroondo yayo, uye shanduko, ichikubatsira kuti ita fungidziro dzakakodzera kune ramangwana rayo.

3. MIT Sloan Isingatarisirwe Muchina Kudzidza: Kuvhura Iyo Inogoneka yeData

Kosi iyi yakanangana nekuti kudzidza kwemichina kunogona sei kushandisa data - kunyangwe idiki sei - kudzidzisa modhi yeAI.

Inoratidzira varairidzi ve5 iyi kosi inotungamirwa naAntonio Torralba, Delta Electronics Purofesa weMagetsi Engineering uye Computer Science, Musoro weAI + D Faculty, Dhipatimendi reEECS, MIT CSAIL.

Muchidzidzo ichi iwe unoongorora kuti nzira dzekudzidza dzemuchina dziri kutsanangura sei kugona kwedata. Nzwisisa kuti zvinomiririra zvinogona sei kuderedza zvakanyanya huwandu hwemavara anodiwa kuvaka echokwadi maAI modhi. Kana uchinge wava nekunzwisisa kwezvigadziro izvi iwe unozofambira mberi mukudzidza maitiro ekare akadzidziswa maAI modhi anogona kukanganisa kuendeswa kwekumiririra kudzidza uye generative modhi mumasangano.

Iwe unozopedzisira waona kukosha kwekududzira uye causality mukuvaka kwakaringana ML modhi, uye pakupedzisira iwe unozoongorora chokwadi chekutumira mamodhi ekudzidza muchina musangano rako.

Izvi zvinogona kupa kunzwisisa kweiyi yakakosha data basic:

• Kunzwisisa kwakadzama kwekuti kumiririra kudzidza kunogona kugadzirisa sei matambudziko ebhizinesi uye kuwedzera ROI pamatanho eAI.
• Kunzwisisa mumatambudziko, mikana, uye zvakakosha kufunga kwemamodeli ekugadzira musangano.
• Maonero akazara emamiriro emhando dzakafanodzidziswa uye mashandisiro emhando idzi zvakanaka musangano rako.

• Iko kugona kugadzira yakajeka, inodudzira ML modhi mune yako mamiriro.

4. LSE Machine Kudzidza: Inoshanda Zvishandiso

Simudzira hunyanzvi hwako hwedata uye gadzira kunzwisisa kwehunyanzvi kwebhizinesi mashandisirwo ekudzidza muchina.

Iyi kosi yakagadzirirwa kudzidza maitiro ekuita dhata data inoshanda, tanga nekuwana mashandisirwo akakodzera uye kugadzirisa kwedata rekugadzirisa mashandisirwo ekudzidza muchina. Ongorora kudzoreredza senzira inotariswa yekudzidza muchina kufanotaura chinoramba chichichinja (mhinduro kana chinangwa) kubva kune seti yezvimwe zvinosiyana (zvimiro kana kufanotaura).

Iwe unozopedzisira wanzwisisa mashandisirwo emiti-yakavakirwa nzira uye ensemble nzira dzekudzidza dzinoshandiswa kuvandudza huchokwadi hwekufanotaura, asi zvakakosha kuti unzwisise kuti chii chinonzi neural network, maapplication ayo akabudirira kwazvo, uye mashandisirwo angaitwa mukati mebhizinesi mamiriro.

Mushure mekupedza nekosi iyi iwe ucha:

• Iva nekunzwisisa kwakadzama kwe nzira dzakasiyana dzekudzidza muchina, kusanganisira kudzoreredza, ensemble kudzidza, uye miti-yakavakirwa nzira, pakati pevamwe.
• Iko kugona kunyora muR uye kushandisa michina yekudzidza matekiniki kune akasiyana marudzi e data.
• Exposure kune miganhu yazvino yekudzidza kwemichina, senge neural network uye kuti izvi zvinogona kushandiswa sei mubhizinesi.
• Iva chitupa chekugona kubva kuLSE, yunivhesiti inotungamira pasi rose yesainzi.

5. MIT Sloan Machine Kudzidza muBhizinesi

Iyi imwe kosi iri naDaniela Rus, naThomas Malone. Iyi kosi inotarisa pane nzira yekusimudzira shanduko yehunyanzvi mune zvese kufunga kwako uye bhizinesi maapplication.

Iwe unozotanga nekudzidza nezve muchina kudzidza uye kukura kwayo basa mubhizinesi. Iwe unozonzwisisa basa re data, uye kukosha kwehurongwa hwekuita. Tevedza izvi nekuongorora zvinodikanwa zvekushandisa kwemuchina kudzidza uchishandisa sensor, mutauro, uye data rekutengesa. Kubva pano iwe unokwanisa kugadzira chirongwa chekushandisa chekudzidza muchina, uye funga nezveramangwana rekudzidza kwemichina mubhizinesi.

Iyi kosi inofanirwa kukupa kunzwisisa kukuru kweanotevera akakosha mapoinzi:

• Chirongwa chekuita chinoshanda ku zvine hunyanzvi shandisa muchina kudzidza mubhizinesi, yakagadzirirwa kutungamirira sangano rako zvinobudirira.
• Kuratidzwa kune tekinoroji zvinhu zvemuchina kudzidza, pasina kuda kukodha kana chirongwa, zvichikubatsira kukwidziridza tekinoroji iyi mukufunga kwako.
• Maonero kubva kune anoremekedzwa MIT fakaroti uye muchina kudzidza nyanzvi, ichipa mukana wakakosha wekuvhura mikana mitsva yebasa.

6. Cognilytica - Cognitive Project Management yeAI (CPMAI) Certification

Iyi ndiyo kosi yakazara kwazvo inopihwa neCognilytica uye inovhara data sainzi uye kudzidza muchina.

Iyo CPMAI methodology ndiyo indasitiri yakanakisa tsika nzira yekubudirira AI & ML mapurojekiti. Cognilytica's CPMAI kudzidziswa uye certification inokugadzirira iwe kuti ubudirire neAI & ML yako kuedza, ungave uchangotanga kana kuti uri munzira nekuita.

Ichi chirongwa idata yakatarisana pane ese maficha manejimendi AI, uye izvi zvinosanganisira data sainzi, mamwe emisoro ichavharwa:

• Zvinokosha zveAI uye ML Terminology uye pfungwa
• Maitiro manomwe eAI
• AI Project Management Yakanakisa Maitiro
• Kunyura kwakadzika mumapurojekiti eAI uchishandisa CPMAI
• Kutarisirwa, kusatariswa, uye kusimbisa nzira dzekudzidza, nzira, pfungwa, uye algorithms.
• Akanyanya kukosha maficha eData Sayenzi anoenderana neAI
• Kunzwisisa kwebhizinesi, kunzwisisa kwedata, kugadzirira data, kusimudzira modhi, kuongorora modhi, uye mashandiro emodhi zvinowirirana
• Iterative uye agile nzira dzeAI
• Maitiro ekuvaka Ethical uye Responsible AI masisitimu
• Maitiro ekugadzira yakanakira AI timu

Iyi purogiramu inopa zvinhu zvinotevera uye inopa chitupa chekupedzisa:

• All Skill Levels
• Vadzidzi vane mwedzi mitanhatu (6) yekupedza kudzidziswa
• Kuwana mavhidhiyo akarekodhwa uye zvinhu zvekudzidzisa zvinopihwa kwemazuva makumi matatu (30) zvichitevera kupera kwevadzidzi vekirasi
• Nguva yekutora: 30 maawa

7. IBM Machine Kudzidza Professional Certificate

Ichi chitupa kubva kuIBM chakanangana neavo vari kutsvaga kuvandudza hunyanzvi uye ruzivo rwunodiwa pabasa reMuchina Kudzidza. Chirongwa ichi chine makosi matanhatu anokubatsira iwe kukudziridza kunzwisisa kweiyo huru algorithms uye mashandisiro awo. Nepo chirongwa chepakati chichibatsira chero munhu ane hunyanzvi hwekombuta uye anofarira kusimudzira data, imwe kumashure muPython programming, manhamba, uye linear algebra inokurudzirwa.

Heano maitiro makuru echitupa ichi:

• 6-kosi purogiramu
• Unyanzvi muKudzidza Kusina Kutariswa, Kudzidza Kunotariswa, Kudzidza Kwakadzika, uye Kusimbisa Kudzidza
• Misoro yakakosha seTime Series Analysis uye Survival Analysis
• Kodha mapurojekiti ako ane akavhurika sosi masisitimu uye maraibhurari
• Digital bheji kubva kuIBM pakupera
• Nguva: Mwedzi 6, maawa maviri / vhiki

8. IBM AI Engineering Professional Certificate

Imwe yemasitifiketi epamusoro ekudzidza muchina, iyi 6-kosi Professional Certification ine chinangwa chekupa vanhu maturusi anodiwa kuti vabudirire seAI kana ML mainjiniya. Inovhara pfungwa dzakakosha dzeKudzidza Kwemuchina uye Kudzidza Kwakadzika, seKutariswa uye Kusina Kutariswa Kudzidza. Iwe zvakare unozodzidza kuvaka, kudzidzisa, uye kuendesa zvakadzika zvivakwa.

Heano maitiro makuru echitupa ichi:

• 6-kosi purogiramu
• Kutariswa uye Kusina Kutariswa Kudzidza nePython
• Nyorera akakurumbira Muchina Kudzidza uye Kudzika Kudzidza maraibhurari seSciPy, ScikitLearn, Keras, PyTorch, uye Tensorflow.
• Rongedza matambudziko anosanganisira Kuzivikanwa kweChinhu, Chiono cheKombuta, Mufananidzo uye Vhidhiyo Kugadziriswa, Kuongorora Kwemavara, uye NLP.
• Digital bheji kubva kuIBM pakupera
• Nguva: Mwedzi 8, maawa maviri / vhiki

9. Kudzidza kweMichina neStanford University

Kirasi iyi inopihwa neStanford University inodzidzisa maitiro anonyanya kushanda emuchina, uye iwe unowana mukana wekuashandisa kuti uzvishandire iwe pachako. Kirasi inopawo ruzivo runodiwa kushandisa matekiniki kumatambudziko matsva. Iyo kosi yakafara uye sumo yeMuchina Kudzidza, Kutora data, uye Statistical Pateni Kuzivikanwa.

Hezvino zvinhu zvikuru zvekosi iyi:

• Misoro yakaita seKutariswa uye Kusina Kutariswa Kudzidza
• Zvidzidzo zvakawanda uye mashandisirwo
• Kushandisa algorithms yekudzidza kuvaka Smart Robots, Kunzwisisa Zvinyorwa, Zviono zveKombuta, Medical Informatics, Audio, uye Database Mining.
• Chitupa chinogoverwa pamakwikwi
• Nguva yekutora: 60 maawa

10. Yepamusoro Kudzidza Algorithims

Iyi kosi pfupi asi inonakidza inopa hwaro hwepamhepo chirongwa chakagadzirwa mukubatana pakati peDeepLearning.AI neStanford Online. Mune ino yekutanga-inoshamwaridzika chirongwa, iwe unozodzidza zvakakosha zvemuchina kudzidza uye maitiro ekushandisa aya matekiniki kuvaka chaiyo-nyika AI application.

Hezvino zvinhu zvikuru zvekosi iyi:

• Maonero kubva kunyanzvi
• Vaka uye dzidzisa neural network neTensorFlow kuita akawanda-class classification
• Nyorera akanakisa maitiro ekuvandudza muchina wekudzidza kuitira kuti mamodheru ako awedzere kune data uye mabasa ari munyika chaiyo
• Vaka uye shandisai miti yesarudzo uye miti inosanganisa nzira, kusanganisira masango asina kurongeka uye miti yakasimudzwa
• Nyorera akanakisa maitiro ekuvandudza muchina wekudzidza kuitira kuti mamodheru ako awedzere kune data uye mabasa ari munyika chaiyo
• Nguva yekutora: 34 maawa