Mashi 30 - 31, SIBUR CHALLENGE eNizhny Novgorod

Sawubona wonke umuntu!

Emasontweni ambalwa nje, ngoMashi 30-31, sizobamba i-hackathon, okunikezelwe ekuhlaziyweni kwedatha. Ukukhethwa kwamaqembu kuzoqhubeka kuze kube nguMashi 30, imisebenzi izodinga ukuxazululwa hhayi into engaqondakali, kodwa yangempela - sizohlinzeka ngedatha yenkampani yangempela yalokhu.

Nazi izinto ezikhethekile abameleli bazo bazokwazi ukubamba iqhaza:

• Injiniyela wedatha
• Umakhi Wezedatha
• Idatha Sosayensi
• Solutions Architect
• Umthuthukisi ongaphambili
• Unjiniyela ongemuva
• Umklami we-UX / UI
• Umnikazi womkhiqizo
• Isikhwama sekhanda

Imininingwane eyengeziwe mayelana nemisebenzi nezigaba ingaphansi kokunqunywa.

Isigaba sokuqala isivele isebenza njengamanje, kusukela ngoMashi 1 kuya kuMashi 30, lesi yisifundo samahhala se-inthanethi, ngemuva kokubhalisa uzothola izixhumanisi zezabelo, uzokwazi ukuqongelela amaphuzu futhi kule nqubo uhlangane nabanye abahlanganyeli uma ungakakhethi. iqembu. Yebo, ukukhetha iqembu kubalulekile, ngoba amaqembu abamba iqhaza (kusuka kubantu abangu-2 kuya kwabangu-5 ngamunye).

Sakhe uhlelo lwezemfundo kanye nongoti be-AI Today, imisebenzi isivele itholakala kubhothi yetelegramu @siburchallenge_bot. Kodwa-ke, ku-bot ungaphinda uhlole ibhalansi yakho yamanje yamaphoyinti ebhonasi (angase ashintshwe ukuze athengiselwe okuwusizo, izici ezengeziwe (njengehora elingeziwe lokuqondisa), noma ubambe iqhaza endalini ukuze uthole umklomelo omkhulu.

Amaphuzu anikezwa ngokubhalisa ku-hackathon ngokwayo (ebhaliswe ngaphambili = ithole amaphuzu amaningi), ngokuqedela lonke uhlelo, ngokushiya idatha, nokunye okuningi.

Uhlu oluphelele

• Kufika ku-500 - ukubhalisa kuwebhusayithi ye-hackathon (ngaphambi kwesikhathi usuku lokubhalisa, amaphuzu amaningi).
• Kufika ku-500 wokubhaliswa kweqembu (okufanayo kuye ngosuku).
• 100 - ngokwethula ababambiqhaza be-#siburchalnge engxoxweni futhi ushiye ulwazi olumayelana nawe.
• 100 - ukuthumela i-resume yakho.
• 100 - ngempendulo ngayinye efanele ngemva kwezifundo zevidiyo, futhi uma kwenzeka ukuphothula ngempumelelo (75% yezimpendulo ezifanele) zohlelo lonke lwezemfundo - amaphuzu engeziwe.
• 100 - ukuqedela isifundo sokuqala ku-bot.
• Kufika ku-1500 - ukuqedela lonke uhlelo (okungenani u-75% wezimpendulo ezifanele) ngaphambi kosuku oluthile: ekuqaleni, amaphuzu amaningi.
• 500 - ngokubamba iqhaza ohlelweni lokudlulisela.
• Kufika ku-300 - ngezimemezelo nezibuyekezo ezinkundleni zokuxhumana.
• Kufika ku-500 wokuhambela imicimbi eyengeziwe ngaphambi kwe-hackathon.
• 100 - ukuthola impendulo.
• 200 - okwephutha elitholiwe noma iphutha.

Isigaba sesibili, Mashi 29, ukuhlangana. Lapha usungakwazi ukujoyina iqembu olifunayo, uma ungakakwenzi lokho. Ukuxhumana nabamele inkampani (IT, HR, iminyango yebhizinisi).

Isigaba sesithathu, kuze kube nguMashi 30, ukukhethwa kweqembu. Uma ungakajoyini amaqembu ezigabeni ezimbili zokuqala, leli yithuba lakho lokugcina. Ungakha iqembu ngokwakho, noma ujoyine akhona ngokuya ngephrofayili oyidingayo. Kuzophinde kube nenani lemisebenzi ozonikezwa yona amaphuzu - udinga ukuqoqa inombolo edingekayo.

Isigaba sesine, ngoMashi 30-31, yi-hackathon ngokwayo. Lapha ithimba lakho lizodinga ukuthuthukisa isisombululo senkinga. Ungathintana nochwepheshe bethu ngesikhathi senqubo.

Ngendlela, mayelana nochwepheshe

• Gleb Ivashkevich / AI Namuhla
  Isazi Sokufunda Okujulile. Inhloko Yesayensi Yedatha AI Namuhla. Umeluleki wohlelo lwe-Y-Data.
• Anastasia Makeenok / ex-Microsoft
  Uchwepheshe ozimele wokuqalisa nokuqamba izinto ezintsha. Owayeyinhloko yabaqalayo kanye nokusebenzisana kwezemfundo kwaMicrosoft eRussia naseMpumalanga Yurophu. Ibonisana neziqalo zokumaketha nokuthuthukiswa kwebhizinisi.
• USergey Martynov / Brainex
  Umholi wethimba lokuthuthukisa iBrainex kanye nozakwethu wenkampani eyinhloko yebhizinisi iNP Capital. Ebhizinisini le-Inthanethi iminyaka engaphezu kwengu-15, esikhathini esidlule wayengumphathi wamaphrojekthi afana neGosuslugi.ru ne-Mail.Ru Post.
• Ilya Korolev / IIDF
  I-IDF Portfolio Manager. Iphothifoliyo yokutshalwa kwezimali - ama-ruble ayizigidi ezingu-850+, izinkampani ezingu-18 ezivela emikhakheni ye-LegalTech, i-AR/VR ne-MarTech ne-Consumer Internet.
• Umphakathi we-Pavel Doronin / AI
  Umsunguli womphakathi we-AI. Umsunguli we-AI Community kanye nelebhu yokuguqulwa kwedijithali i-AI Namuhla.
• U-Alexey Pavlyukov / Esporo
  Hamba-umvangeli e-Esporo. Unjiniyela ogcwele isitaki. Isebenza ekudalweni kwamasevisi ewebhu kanye nezinhlelo zokufunda zomshini ezindaweni zombhalo, amadokhumenti nokuhlaziya izithombe.
• Nikolay Kugaevsky / it52.info
  Umsunguli nomthuthukisi we-meetup poster yase-Nizhny Novgorod it52.info. Unjiniyela ozimele. Usebenzele i-Yandex.Money ne-iFree. Uthanda i-ruby ​​futhi ulandela ukuthuthukiswa kobuchwepheshe be-front-end.
• Alexander Krot / SIBUR
  Umphathi wephrojekthi wokuhlaziya idatha e-SIBUR. Usebenze e-Asia Ephakathi ye-Sberbank, lapho ayenomthwalo wemfanelo wokusetshenziswa kwemikhiqizo ngokusekelwe ekuhlaziyweni kwedatha nokufunda komshini.
• USergey Belousov / Intel
  I-R&D Machine Learning Engineer e-Intel. Ngaphezulu kweminyaka engu-8 yokuhlangenwe nakho kokubona ngekhompyutha nokufunda ngomshini. Ibambe iqhaza ekuthuthukisweni kwemitapo yolwazi evulekile ye-CV/ML njenge-OpenCV, i-OpenVINO.

Futhi mayelana nemisebenzi

Okokuqala, kuzoba nomsebenzi mayelana nokusatshalaliswa kwamavawusha. Enhlanganweni enkulu, lolu kusewusuku olukhulu olunenqwaba yamapharamitha.

Kusukela ohlangothini lwethu:

1. Isethi yedatha yezicelo zezisebenzi ezingu-19 zamavawusha anabahlaziyi bokuhlangenwe nakho komsebenzi, imiklomelo kanye nedatha yomuntu siqu yokuthola izinzuzo, umthamo wegumbi lesibhedlela sasesibhedlela, indlela yokunikeza abasebenzi amavawusha.
2. Umnikazi webhizinisi wenqubo ozosho futhi abonise yonke into.

Kusukela ohlangothini lwakho:
Isixazululo esibanzi esizovumela uchwepheshe wezixazululo zezabasebenzi ukuthi enze izinqumo ngokushesha mayelana nokusatshalaliswa kwala mavawusha phakathi kwabasebenzi abafake izicelo zokukhishwa kwamavawusha, futhi anikeze izinketho zokusabalalisa amavawusha phakathi kwamabhizinisi kanye nenani lamakamelo.

Isixazululo kufanele sibe nezingxenye ezimbili:

1. I-algorithm esekelwe ekuhlaziyweni kwedatha.
2. Isixhumi esibonakalayo sedatha nemiphumela ye-algorithm nanoma iyiphi idatha eyengeziwe.

Okwesibili, inkinga mayelana nomeluleki ekukhiqizeni i-butadiene (sibhale kancane ngalokhu lapha).

Amaphasiwedi nokuvela

Indawo: Nizhny Novgorod, St. U-Ilyinskaya, 46, ihhotela "Igceke by Marriott Nizhny Novgorod Center".

Umcimbi kanye nekhasi lokubhalisa.

Uma ubufuna ukuzama isandla sakho ekuhlaziyeni idatha endaweni enkulu yokukhiqiza, woza. Futhi sinakho izikhala eziningi Nizhny Novgorod.

Source: www.habr.com