Ngikuhlele kanjani ukuqeqeshwa komshini wokufunda e-NSU

Igama lami ngingu-Sasha futhi ngiyakuthanda ukufunda ngomshini kanye nokufundisa abantu. Manje ngiqondisa izinhlelo zemfundo e-Computer Science Center futhi ngiqondise uhlelo lwe-bachelor ekuhlaziyeni idatha e-St. Petersburg State University. Ngaphambi kwalokho, wasebenza njengomhlaziyi e-Yandex, futhi ngisho nangaphambi kwalokho njengososayensi: wahlanganyela ekuboniseni izibalo e-Institute of Computer Science ye-SB RAS.

Kulokhu okuthunyelwe ngifuna ukukutshela ukuthi yini eza ngombono wokwethula ukuqeqeshwa komshini wokufunda kwabafundi, abaphothule eNovosibirsk State University kanye nawo wonke umuntu.

Ngikuhlele kanjani ukuqeqeshwa komshini wokufunda e-NSU

Sekuyisikhathi eside ngifuna ukuhlela isifundo esikhethekile sokulungiselela imiqhudelwano yokuhlaziya idatha ku-Kaggle nakwezinye izinkundla. Lokhu kubonakale kuwumqondo omuhle:

  • Abafundi nanoma ubani onentshisekelo bazosebenzisa ulwazi lwethiyori ekusebenzeni futhi bathole ulwazi lokuxazulula izinkinga emiqhudelwaneni yomphakathi.
  • Abafundi ababeka phezulu emiqhudelwaneni enjalo baba nomthelela omuhle ekuthandeni kwe-NSU kwabafake izicelo, abafundi nabathweswe iziqu. Kwenzeka okufanayo ngokuqeqeshwa kwezinhlelo zezemidlalo.
  • Lesi sifundo esikhethekile siphelelisa kahle futhi sandise ulwazi oluyisisekelo: ababambiqhaza basebenzisa ngokuzimela amamodeli okufunda omshini futhi ngokuvamile bakhe amaqembu aqhudelanayo ezingeni lomhlaba.
  • Amanye amanyuvesi ayesekuqeqeshe kakade lokho, ngakho nganginethemba lokuphumelela esifundweni esikhethekile e-NSU.

Qalisa

I-Akademgorodok yaseNovosibirsk inendawo evundile kakhulu yemizamo enjalo: abafundi, iziqu kanye nothisha be-Computer Science Center kanye namakhono aqinile ezobuchwepheshe, isibonelo, i-FIT, MMF, FF, ukusekelwa okuqinile kokuphatha kwe-NSU, umphakathi osebenzayo we-ODS, onjiniyela abanolwazi. nabahlaziyi bezinkampani ezahlukene ze-IT. Ngaso leso sikhathi, safunda ngohlelo lwesibonelelo sikahulumeni I-Botan Investments - isikhwama sisekela amaqembu abonisa imiphumela emihle emiqhudelwaneni yezemidlalo ye-ML.

Sithole izethameli e-NSU zemihlangano yamasonto onke, sakha ingxoxo kuTelegram, futhi yethulwa ngo-Okthoba 1 kanye nabafundi kanye nabathweswe iziqu esikhungweni se-CS. Abantu abangu-19 beza esifundweni sokuqala. Abayisithupha kubo baba abahlanganyeli njalo ekuqeqesheni. Sebebonke, abantu abangama-31 beza emhlanganweni okungenani kanye ngonyaka wokufunda.

Imiphumela yokuqala

Mina nabafana sahlangana, sashintshana ngokuhlangenwe nakho, saxoxa ngemincintiswano kanye nohlelo olunzima lwekusasa. Ngokushesha saqaphela ukuthi ukulwela izindawo emiqhudelwaneni yokuhlaziya idatha kuwumsebenzi ovamile, okhathazayo, ofana nomsebenzi wesikhathi esigcwele ongakhokhelwa, kodwa othakazelisayo kakhulu futhi ojabulisayo πŸ™‚ Omunye wabahlanganyeli, u-Kaggle-master Maxim, useluleke ukuthi siqhubekele phambili emiqhudelwaneni ngabanye. , futhi ngemva kwamasonto ambalwa kuphela ahlangane abe amaqembu, kucatshangelwa amaphuzu omphakathi. Yilokho esakwenza! Ngesikhathi sokuqeqeshwa ubuso nobuso, saxoxa ngamamodeli, izihloko zesayensi, nobunkimbinkimbi bemitapo yolwazi yePython, futhi saxazulula izinkinga ndawonye.

Imiphumela yesemester yokuwa ibe izindondo ezintathu zesiliva emiqhudelwaneni emibili ku-Kaggle: I-TGS Salt Identification ΠΈ I-PLAsTiCC Ukuhlelwa Kwezinkanyezi. Futhi indawo eyodwa yesithathu emncintiswaneni we-CFT wokulungisa ama-typos ngemali yokuqala ewiniwe (emalini, njengoba abakwa-keglers abanolwazi besho).

Omunye umphumela ongaqondile obaluleke kakhulu wesifundo esikhethekile kwaba ukwethulwa nokucushwa kweqoqo le-NSU VKI. Amandla ayo ekhompyutha ayithuthukise kakhulu impilo yethu yokuncintisana: 40 CPUs, 755Gb RAM, 8 NVIDIA Tesla V100 GPUs.

Ngikuhlele kanjani ukuqeqeshwa komshini wokufunda e-NSU

Ngaphambi kwalokho, sisinde ngokusemandleni ethu: sibale kumakhompyutha aphathekayo omuntu siqu namadeskithophu, ku-Google Colab naku-Kaggle-kernels. Iqembu elilodwa laze laba neskripthi esizibhalele sona esigcine ngokuzenzakalelayo imodeli futhi saqala kabusha isibalo esasimile ngenxa yomkhawulo wesikhathi.

Ngesemester yasentwasahlobo, saqhubeka nokuqoqana, sishintshana ngemiphumela eyimpumelelo futhi sikhuluma ngezixazululo zethu emqhudelwaneni. Abahlanganyeli abasha abathakazelayo baqala ukuza kithi. Phakathi nesemester yasentwasahlobo, sikwazile ukuthatha igolide elilodwa, ezintathu zesiliva nezethusi eziyisishiyagalolunye emiqhudelwaneni eyisishiyagalombili e-Kaggle: I-PetFinder, Santander, Ukulungiswa kobulili, Ukuhlonza Umkhomo, I-Quora, I-Google Landmarks abanye, ithusi phakathi Recco inselele, indawo yesithathu ku-Changellenge>>Indebe nendawo yokuqala (futhi ngemali) emqhudelwaneni wokufunda ngomshini ubuqhawe bezinhlelo kusuka ku-Yandex.

Okushiwo abahlanganyeli bokuqeqeshwa

UMikhail Karchevsky
"Ngijabule kakhulu ukuthi imisebenzi enjalo yenziwa lapha eSiberia, ngoba ngikholelwa ukuthi ukubamba iqhaza emiqhudelwaneni kuyindlela esheshayo yokwazi i-ML. Ngemincintiswano enjalo, i-hardware ibiza kakhulu ukuzithenga, kodwa lapha ungazama imibono mahhala. "

Kirill Brodt
β€œNgaphambi kokufika kokuqeqeshwa kwe-ML, angizange ngibambe iqhaza ikakhulukazi emiqhudelwaneni ngaphandle kokuqeqeshwa kanye nemiqhudelwano yamaHindu: Angizange ngilibone iphuzu kulokhu, njengoba nganginomsebenzi emkhakheni we-ML, futhi ngangijwayele. Isemester yokuqala ngaya kuyo ngisengumfundi. Futhi kusukela ku-semester yesibili, ngokushesha nje lapho izinsiza zekhompyutha sezitholakala, ngacabanga, kungani ngingahlanganyeli. Futhi kwangihlanganisa. Umsebenzi, idatha namamethrikhi kwasungulwa futhi kwalungiselelwa wena, qhubeka futhi usebenzise amandla aphelele e-MO, hlola amamodeli nezindlela ezisezingeni eliphezulu. Ukube bekungengenxa yokuqeqeshwa futhi, okubaluleke kakhulu, izinsiza zekhompiyutha, ngabe angizange ngiqale ukubamba iqhaza maduze. "

Andrey Shevelev
β€œUkuqeqeshwa kwe-ML kwangisiza ukuthi ngithole abantu abanomqondo ofanayo, ngakwazi ukujulisa ulwazi lwami emkhakheni wokufunda ngemishini nokuhlaziya idatha. Lokhu futhi kuyinketho enhle kakhulu kulabo abangenaso isikhathi esiningi samahhala sokuhlaziya ngokuzimela futhi bagxile esihlokweni semiqhudelwano, kodwa abasafuna ukuba sesihloko. "

sijoyine

Imiqhudelwano ku-Kaggle nezinye izinkundla icija amakhono asebenzayo futhi iguqule ngokushesha ibe umsebenzi othokozisayo emkhakheni wesayensi yedatha. Abantu abaye babamba iqhaza emncintiswaneni onzima ndawonye bavame ukuba ozakwethu futhi baqhubeke nokuxazulula izinkinga ezihlobene nomsebenzi. Lokhu kwenzeka nakithi: UMikhail Karchevsky, kanye nomngane weqembu, bahamba bayosebenzela inkampani efanayo ohlelweni lokuncoma.

Ngokuhamba kwesikhathi, sihlela ukwandisa lo msebenzi ngokushicilelwa kwesayensi nokubamba iqhaza ezingqungqutheleni zokufunda ngomshini. Hlanganyela nathi njengabahlanganyeli noma ochwepheshe eNovosibirsk - bhala kimi noma Kirill. Hlela ukuqeqeshwa okufanayo emadolobheni akho nasemanyuvesi.

Nali ishidi lokukopela elincane elizokusiza ukuthi uthathe izinyathelo zakho zokuqala:

  1. Cabangela indawo ekahle nesikhathi samakilasi avamile. Ngokufanelekile - izikhathi ezingu-1-2 ngesonto.
  2. Bhalela ababambiqhaza okungenzeka babe nentshisekelo mayelana nomhlangano wokuqala. Okokuqala, laba ngabafundi bamanyuvesi ezobuchwepheshe, abahlanganyeli be-ODS.
  3. Qala ingxoxo ukuze nixoxe ngezindaba zamanje: I-Telegram, i-VK, i-WhatsApp nanoma yisiphi esinye isithunywa esilungele iningi.
  4. Gcina uhlelo lwesifundo olufinyeleleka esidlangalaleni, uhlu lwemiqhudelwano nabahlanganyeli, futhi ugade imiphumela.
  5. Thola amandla ekhompuyutha amahhala noma izibonelelo zawo emanyuvesi aseduze, izikhungo zocwaningo noma izinkampani.
  6. INZUZO!

Umthombo: www.habr.com

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