Matshi 30 - 31, SIBUR CHALLENGE e Nizhny Novgorod

Sawubona wonke umntu!

Kwiiveki nje ezimbalwa, nge-30-31 kaMatshi, siza kubamba i-hackathon, ezinikezelwe kuhlalutyo lwedatha. Ukukhethwa kwamaqela kuya kuqhubeka kude kube nge-30 kaMatshi, imisebenzi iya kufuneka isonjululwe ingeyiyo i-abstract, kodwa iyinyani - siya kubonelela ngedatha yenkampani yokwenyani kule nto.


Nazi izinto ezizodwa apho abameli babo baya kuba nakho ukuthatha inxaxheba:

  • Injini Yedatha
  • Umcwangcisi weDatha
  • Data Data
  • Izisombululo Architect
  • Umphuhlisi wesiphelo sangaphambili
  • Umphuhlisi osemva
  • Umyili we-UX / UI
  • Umnini weMveliso
  • Isikram

Iinkcukacha ezongezelelweyo malunga nemisebenzi kunye nezigaba ziphantsi kokusikwa.

Inqanaba lokuqala sele isebenza ngoku, ukusuka nge-1 kaMatshi ukuya kwi-30 kaMatshi, le yikhosi yemfundo ye-intanethi yasimahla, emva kokubhalisa uya kufumana amakhonkco kwizabelo, uya kukwazi ukuqokelela amanqaku kwaye kwinkqubo udibana nabanye abathathi-nxaxheba ukuba awukakhethi. iqela. Ewe, ukukhetha iqela kubalulekile, kuba ngamaqela athatha inxaxheba (ukusuka kubantu aba-2 ukuya kwaba-5 nganye).

Siphuhlise inkqubo yemfundo kunye neengcali ze-AI Namhlanje, imisebenzi sele ikhona kwi-telegram bot @siburchallenge_bot. Ngendlela, kwi-bot ungajonga kwakhona ibhalansi yakho yangoku yamanqaku ebhonasi (zinokuthi zitshintshwe kurhwebo oluluncedo, iimpawu ezongezelelweyo (njengeyure yokucebisa eyongezelelweyo), okanye uthathe inxaxheba kwifandesi yebhaso elikhulu.

Amanqaku anikezelwa ngokubhalisa kwi-hackathon ngokwayo (ebhalisiwe ngaphambili = ifumene amanqaku amaninzi), ukugqiba inkqubo yonke, ukushiya idatha, kunye nokunye okuninzi.

Uluhlu olupheleleyo

  • Ukuya kuthi ga kwi-500 - ukubhalisa kwiwebhusayithi ye-hackathon (engaphambili umhla wokubhalisa, amanqaku amaninzi).
  • Ukuya kuthi ga kwi-500 yokubhaliswa kweqela (okufanayo kuxhomekeke kumhla).
  • I-100 - ukwazisa abathathi-nxaxheba be-#siburchalnge kwingxoxo kunye nokushiya ulwazi malunga nawe.
  • 100 - ngokuthumela i-resume yakho.
  • I-100 - kwimpendulo nganye echanekileyo emva kwezifundo zevidiyo, kwaye kwimeko yokugqiba ngempumelelo (i-75% yeempendulo ezichanekileyo) yeprogram yemfundo yonke - amanqaku ongezelelweyo.
  • I-100 - ukugqiba isifundo sokuqala kwi-bot.
  • Ukuya kuthi ga kwi-1500 - ukugqiba inkqubo yonke (ubuncinci i-75% yeempendulo ezichanekileyo) ngaphambi komhla othile: kwangaphambili, amanqaku amaninzi.
  • I-500 - yokuthatha inxaxheba kwiprogram yokuthunyelwa.
  • Ukuya kuthi ga kwi-300 - izibhengezo kunye nophononongo kwiinethiwekhi zentlalo.
  • Ukuya kuthi ga kwi-500 yokuya kwimisitho eyongezelelweyo phambi kwe-hackathon.
  • 100 - ukufumana impendulo.
  • 200-yempazamo okanye impazamo efunyenweyo.

Inqanaba lesibini, ngoMatshi 29, ukudibana. Apha ungajoyina iqela elifunekayo, ukuba awukakwenzi oko. Unxibelelwano nabameli beenkampani (IT, HR, amasebe oshishino).

Inqanaba lesithathu, kude kube ngoMatshi 30, ukhetho lweqela. Ukuba awuzange ujoyine amaqela kwizigaba ezimbini zokuqala, eli lithuba lakho lokugqibela. Yenza iqela ngokwakho, okanye ujoyine esele ikho ngokweprofayile oyifunayo. Kuya kubakho imisebenzi emininzi apho uya kunikwa amanqaku - kufuneka uqokelele inani elifunekayo.

Inqanaba lesine, ngoMatshi 30-31, yi-hackathon ngokwayo. Apha iqela lakho liya kufuna ukuphuhlisa isisombululo kwingxaki. Unokubonisana neengcali zethu ngexesha lenkqubo.

Ngendlela, malunga neengcali

  • Gleb Ivashkevich / AI Namhlanje
    INgcali yokuFunda nzulu. INtloko yeNzululwazi yeDatha AI Namhlanje. Umcebisi wenkqubo ye-Y-Data.
  • UAnastasia Makeenok / owayesakuba nguMicrosoft
    Ingcaphephe ezimeleyo kuqaliso kunye nezinto ezintsha. Owayesakuba yintloko yabaqalayo kunye nokusebenzisana kwezemfundo eMicrosoft eRashiya naseMpuma Yurophu. Ibonisana nabaqalayo kwintengiso kunye nophuhliso lweshishini.
  • USergey Martynov / Brainex
    Inkokeli yeqela lophuhliso lweBrainex kunye neqabane lenkampani eyinkunzi yeshishini iNP Capital. Kwishishini le-Intanethi iminyaka engaphezu kwe-15, ngaphambili wayengumphathi weeprojekthi ezifana neGosuslugi.ru kunye ne-Mail.Ru Post.
  • Ilya Korolev / IIDF
    UMphathi wePotfoliyo yeIDF. Iphothifoliyo yotyalo-mali - i-850 + yezigidi zeeruble, iinkampani ze-18 ezivela kwimimandla ye-LegalTech, i-AR / VR kunye ne-MarTech kunye ne-Consumer Internet.
  • Pavel Doronin / AI Community
    Umseki woLuntu lwe-AI. Umseki woLuntu lwe-AI kunye nelebhu yenguqu yedijithali i-AI namhlanje.
  • UAlexey Pavlyukov / Esporo
    Hamba-umvangeli e-Esporo. Umphuhlisi ogcweleyo. Isebenza ekudalweni kweenkonzo zewebhu kunye neenkqubo zokufunda ngomatshini kwiindawo zokubhaliweyo, uxwebhu kunye nohlalutyo lomfanekiso.
  • UNikolay Kugaevsky / it52.info
    Umseki kunye nomphuhlisi we-Nizhny Novgorod yokuhlangana ipowusta it52.info. Umphuhlisi ozimeleyo. Usebenze kwiYandex.Money kunye ne-iFree. Uyayithanda irubhi kwaye ulandela uphuhliso lwetekhnoloji yangaphambili.
  • Alexander Krot / SIBUR
    Umphathi weprojekthi yohlalutyo lwedatha e-SIBUR. Wasebenza kwi-Asia Ephakathi yaseSberbank, apho wayejongene nokuphunyezwa kweemveliso ngokusekelwe kuhlalutyo lwedatha kunye nokufunda komatshini.
  • USergey Belousov / Intel
    Injineli yokuFunda koomatshini be-R&D e-Intel. Ngaphezulu kweminyaka eyi-8 yamava kumbono wekhompyuter kunye nokufunda koomatshini. Ithathe inxaxheba kuphuhliso lwamathala eencwadi eCV/ML avulekileyo njengeOpenCV, OpenVINO.

Kwaye malunga nemisebenzi

Okokuqala, kuya kubakho umsebenzi malunga nokuhanjiswa kweevawutsha. Kwintlangano enkulu, oku kusengumhla omkhulu kunye neqela leeparamitha.

Ukusuka kwicala lethu:

  1. I-dataset yezicelo ze-19 zabasebenzi beevawutsha kunye nabahlalutyi kumava omsebenzi, amabhaso kunye neenkcukacha zomntu zokufumana izibonelelo, umthamo wegumbi le-sanatorium, imilinganiselo yokunikezela iivawutsha kubasebenzi.
  2. Umnini-shishini wenkqubo oya kuxela kwaye abonise yonke into.

Kwicala lakho:
Isisombululo esibanzi esiya kuvumela ingcali yezisombululo zabasebenzi ukuba ikhawuleze yenze izigqibo malunga nokuhanjiswa kwezi vawutsha phakathi kwabasebenzi abenze isicelo sokukhutshwa kweevawutsha, kwaye ibonelele ngeendlela zokusasaza iivawutsha phakathi kwamashishini kunye nenani lamagumbi.

Isisombululo kufuneka sibe namacandelo amabini:

  1. I-algorithm esekelwe kuhlalutyo lwedatha.
  2. I-interface kunye nokubonwa kwedatha kunye neziphumo ze-algorithm kunye nayiphi na idatha eyongezelelweyo.

Okwesibini, ingxaki malunga nomcebisi kwimveliso yebutadiene (sibhale kancinci malunga nale nto apha).

Iiphasiwedi kunye nembonakalo

Indawo: Nizhny Novgorod, eSt. U-Ilyinskaya, oneminyaka engama-46, ihotele "Inkundla yeMarriott Nizhny Novgorod Centre".

Isiganeko kunye nephepha lokubhalisa.

Ukuba ubufuna ukuzama isandla sakho kuhlalutyo lwedatha kwindawo enkulu yokuvelisa, yiza. Kwaye sinako izithuba ezininzi e Nizhny Novgorod.

umthombo: www.habr.com

Yongeza izimvo