*#1 Yakanyanya Kuzivikanwa Pamhepo Kosi muData Sainzi* Unogona kunyoresa nhasi & kuwana chitupa kubva EasyShiksha &
Iyi kosi inokupa iwe zano rekutanga uye kushandiswa kweMicrosoft Azure Machine Kudzidza Studio.
Microsoft Azure Machine Kudzidza Studio ndeyekushandisa kweartificial intelligence (AI) inopa masisitimu kugona kudzidza otomatiki nekuvandudza kubva pane ruzivo pasina kurongeka zvakajeka. Iko kuvandudzwa kwezvirongwa zvekombuta zvinogona kuwana data uye kuishandisa kudzidza ivo pachavo.
Maitiro ekudzidza anotanga nedata, senge mienzaniso, ruzivo rwakananga, kana rairo, kuitira kutsvaga mapatani mudata uye kuita sarudzo dziri nani mune ramangwana zvichienderana nemienzaniso yatinopa. Chinangwa chikuru ndechekubvumira makomputa kudzidza otomatiki pasina kupindira kwevanhu kana rubatsiro uye kugadzirisa zviito zvinoenderana.
Zvishandiso zveMuchina Kudzidza zvinosanganisira asi zvisingaganhurirwe kune chaiwo vabatsiri vemunhu, kufanotaura paunenge uchienda, kuongororwa kwemavhidhiyo, masocial media masevhisi, email spam uye kusefa malware, rutsigiro rwevatengi vepamhepo, injini yekutsvaga mhinduro, kurudziro yechigadzirwa, kuona hutsotsi hwepamhepo, nezvimwe.
Please Cherechedza: Iyi kosi ndeyekugadzira algorithm yemirairo chaiyo uye data inogadzirwa inogona kushandiswa kuita chaiyo basa remakomputa masisitimu.
Mune izvi, unogona kuwana mukana kune chishandiso chekudzidzira kuitira kuti kana ndapotsa chimwe chinhu kana chimwe chinhu chakagadziridzwa iwe unogona kuve nemaoko ekudzidzira.
Chidzidzo -1 Sumo kuMicrosoft Azure Machine Kudzidza Studio uye Kutonga
Chidzidzo -2 Akasiyana Mamodule muKudzidza Muchina
Chidzidzo -3 Kufanotaura Kwemari (Automated Tutorial)
Chidzidzo -4 Kufanotaura kweMutengo weMotokari uchishandisa Linear Regression Algorithm
Chidzidzo -5 Dataset Kugadziriswa uye Kuongorora (Sample-1)
Chidzidzo -6 Kusimbiswa kweMuchinjikwa weRegression (Sample-2)
Chidzidzo -7 Clustering Group Iris data (Sample-3)
Chidzidzo -8 Sumo paNotibhuku muMicrosoft Azure Machine Kudzidza Studio
Chidzidzo -1 Sumo kuMicrosoft Azure Machine Kudzidza Studio uye Kutonga
Chidzidzo -2 Akasiyana Mamodule muKudzidza Muchina
Chidzidzo -3 Kufanotaura Kwemari (Automated Tutorial)
Chidzidzo -4 Kufanotaura kweMutengo weMotokari uchishandisa Linear Regression Algorithm
Chidzidzo -5 Dataset Kugadziriswa uye Kuongorora (Sample-1)
Chidzidzo -6 Kusimbiswa kweMuchinjikwa weRegression (Sample-2)
Chidzidzo -7 Clustering Group Iris data (Sample-3)
Chidzidzo -8 Sumo paNotibhuku muMicrosoft Azure Machine Kudzidza Studio
Good Couse asi pane kakuvhiringika kweruzha. Yakagamuchira chitupa nenguva & yakanaka yekutsigira chat system
Iyo inotevera kosi yakazara online, uye nekudaro hapana chikonzero chechero chemuviri kirasi chikamu. Iwo hurukuro uye mabasa anogona kuwanikwa chero nguva uye chero kupi kuburikidza newebhu smart kana nharembozha.
Chero ani zvake anogona kusarudza kosi yaanofarira uye otanga nekukurumidza pasina kunonoka.
Sezvo ichi chiri chirongwa chepamhepo kosi, unogona kusarudza kudzidza chero nguva yezuva uye kwenguva yakawanda sezvaunoda. Kunyangwe isu tichitevera yakamisikidzwa chimiro uye hurongwa, isu tinokukurudzira iwewo maitiro. Asi pakupedzisira zvinoenderana newe, sezvaunofanirwa kudzidza.
Kana wapedza kosi, unokwanisa kuwana kwehupenyu hwese kuti uzvionere zvakare.
Ehe, iwe unogona kuwana uye kudhawunirodha zvirimo mukosi yacho kwenguva yacho. Uye kunyangwe kuwana kwehupenyu hwese kwairi kune chero imwezve referensi.
Ese software/maturusi aunoda pakosi aizogovaniswa newe panguva yekudzidziswa uye pawaida.
Kwete, ikopi yakapfava yechitupa chete ndiyo ichapihwa, iyo inogona kutorwa nekudhindwa, kana zvichidikanwa.
Iwe unogona kuedza kuita mubhadharo kuburikidza nekadhi rakasiyana kana account (zvichida shamwari kana mhuri). Kana dambudziko rikaramba riripo, titumire email pa info@easyshiksha.com
Nekuda kwezvimwe zvikanganiso zvehunyanzvi, izvi zvinogona kuitika. Mumamiriro ezvinhu akadaro mari yakabviswa ichaendeswa kubhengi account mumazuva anotevera 7-10 ekushanda. Kazhinji bhangi rinotora nguva yakawanda iyi kukwereta mari yacho kuaccount yako.
Dzimwe nguva, panogona kunge paine kunonoka kudiki mukubhadhara kwako kuchiratidza pane yako EasyShiksha dashboard. Nekudaro, kana dambudziko riri kutora nguva yakareba kupfuura maminetsi makumi matatu, ndapota tizivise nekunyorera kwatiri info@easyshiksha.com kubva kune yako yakanyoreswa email id, uye batanidza iyo skrini yerisiti yekubhadhara kana nhoroondo yekutengeserana. Nguva pfupi mushure mekusimbiswa kubva kumashure, isu tichagadzirisa mamiriro ekubhadhara.
Kana iwe wakanyoresa, uye wakatarisana nechero dambudziko rehunyanzvi saka unogona kukumbira kudzoserwa. Asi kana chitupa chagadzirwa, hatizodzorere izvozvo.
Ehe! Chokwadi unogona. Kuti utange izvi, ingobaya nzira yaunofarira uye zadza ruzivo kuti unyore. Iwe wakagadzirira kudzidza, kana mubhadharo waitwa. Zvimwechetezvo, unowanawo chitupa.
Ndokumbira kuti utibate pa: info@easyshiksha.com
Ziva zviuru zvemakoreji uye makosi, wedzera hunyanzvi ne online makosi uye mainternship, ongorora dzimwe nzira dzebasa, uye gara uchigadziridzwa neazvino nhau dzedzidzo.
Wana yepamusoro-soro, yakasefa yevadzidzi inotungamira, ine mukurumbira peji rekutanga kushambadzira, yepamusoro yekutsvaga chinzvimbo, uye yakaparadzana webhusaiti. Rega isu tishingairire kuwedzera ruzivo rwemhando yako.
Dhawunirodha EasyShiksha Mobile Apps kubva kuAndroid Play Store, Apple App Store, Amazon App Store, uye Jio STB.
miriyoni imwe+ yakadzidzwa paEasyShiksha App
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17 Mar 2022Good Couse asi pane kakuvhiringika kweruzha. Yakagamuchira chitupa nenguva & yakanaka yekutsigira chat system