Mahalo i nā manawa kūpono a me nā pilikia e hiki ai i ka Big Data ke hoʻoponopono a hana, i kēia manawa he nui nā kamaʻilio a me nā manaʻo e pili ana i kēia wahi. Akā ʻae nā kumu a pau i hoʻokahi mea: ʻo kahi loea data nui ka ʻoihana o ka wā e hiki mai ana. Lisa, haumāna ma ke kulanui ʻo Scottish University of the West of Scotland, kaʻana like i kāna moʻolelo: pehea ʻo ia i hele mai ai i kēia kahua, nā mea āna e aʻo ai ma ke ʻano o ka papahana a kona haku a me nā mea hoihoi e pili ana i ke aʻo ʻana ma Scotland.
— Lisa, pehea ʻoe i hoʻomaka ai i kāu huakaʻi i ke kulanui ʻo Scottish a no ke aha ʻoe i koho ai i kēia keʻena kūikawā?
— Ma hope o ke aʻo ʻana i ka physics ma ke kulanui ʻo Moscow a hana no hoʻokahi makahiki ma ke ʻano he kumu ma kahi kula Lūkini maʻamau, ua hoʻoholo wau ʻaʻole lawa ka ʻike a me ka ʻike i loaʻa iaʻu no ke ola. Eia kekahi, hopohopo mau wau no ka mea ʻaʻole wau i aʻo i nā mea āpau a he nui nā wahi aʻu i piha ʻole ai. ʻO kahi wahi i hoʻohauʻoli mau iaʻu me kona paʻakikī a me ka "obscureness" ʻo ia ka papahana.
I loko o ka makahiki o ke aʻo ʻana ma ke kula, i koʻu manawa kūʻokoʻa mai ka hana, hoʻomaka wau e aʻo mālie i ka ʻōlelo hoʻolālā Python, a hoʻomaka hoʻi e hoihoi i ka naʻauao hana, ʻikepili nui a me ke aʻo hohonu. Pehea e hana ai i ka robota e noʻonoʻo a hana i nā hana maʻalahi - ʻaʻole hoihoi? Me he mea lā iaʻu e kokoke mai ana kahi au ʻenehana hou i ko mākou kuʻekuʻe wāwae, akā (spoiler alert maanei!) ʻaʻole maoli.
He moeʻuhane ke aʻo ʻana ma waho mai ke kula kiʻekiʻe. Ma Moscow State University, ma ke keʻena physics, he mea paʻakikī a hiki ʻole paha ke hele i kahi ʻāina ʻē no ke kūʻai ʻana no kahi trimester. I loko o nā makahiki 4 o ke aʻo ʻana ma laila, ʻaʻole wau i lohe i kēlā mau hihia. He moeʻuhane nō hoʻi ke aʻo ʻana i ka ʻōlelo. E like me kāu e ʻike ai, he kanaka moeʻuhane wau. No laila, ʻo nā ʻāina a pau, ʻaʻole au i nānā i ka ʻōlelo Pelekane ʻaʻole kā lākou ʻōlelo maoli, a i ʻole, haʻalele wau iā UK, ʻAmelika a me Kanada wale nō.
ʻO ka ʻimi ʻana i ka ʻike ma ka Pūnaewele a me ka ʻike ʻana i ka pilikia ma hope o ka loaʻa ʻana o kahi visa ʻAmelika, ʻo ke kumu kūʻai o nā papahana kumu i alakaʻi iaʻu i kahi huikau (a he mea paʻakikī loa i nā kamaʻāina Lūkini ke loaʻa kahi haʻawina e aʻo ai i ʻAmelika, e like me kaʻu i manaʻo ai. , mai nā ʻatikala a nā kāne a ma nā pūnaewele kūhelu). ʻO nā mea a pau i koe ʻo Great Britain, ʻo Lākana kahi kūlanakauhale pipiʻi, akā makemake wau i kahi ʻano kūʻokoʻa a me ke kūʻokoʻa. Ma Scotland, ʻoi aku ka liʻiliʻi o ke ola, a ʻaʻole i emi iki nā papahana ma mua o nā papahana Pelekane. He mau kahua kula koʻu kulanui ma Scotland a me ʻEnelani.
— A eia ʻoe ma ke kūlanakauhale ʻo Paisley ma ke Kulanui o ke Komohana o Scotland... Pehea ke ʻano o kāu lā kula maʻamau?
- E kāhāhā ʻoe, akā ke aʻo nei mākou i 3 mau manawa i ka pule, no ka lōʻihi o 4 mau hola. E like me kēia (mai poina, he polokalamu wau ma hope o nā mea a pau, ma nā mea kūikawā ʻē aʻe he ʻokoʻa nā mea āpau):
10 am - 12 am - ke aʻo mua, no ka laʻana, Data Mining a me Visualization.
He haʻiʻōlelo wale nō e pili ana i nā kiʻi kiʻi keiki. ʻAe, makemake ka poʻe Pelekania e kūkākūkā i nā pilikia e pili ana i ka hui me ka hilahila ʻole.
12 am - 1 pm - ka manawa ʻaina awakea. ʻO kahi ʻē aʻe, hiki iā ʻoe ke hele i ka canteen o ke kulanui a ʻai i ka sanwiti a i ʻole kekahi kīʻaha India super-duper spicy wela (Ua waiho nā India a me Pakistanis i kahi kiʻi nui ma nā kīʻaha aupuni o Scotland, ʻo kekahi o lākou ʻo ka moa tikka masala - ke lohe wale nei i kēia huaʻōlelo. haʻalulu nui koʻu ʻōpū i kēia kīʻaha spaaaaysi). ʻAe, a i ʻole holo i ka home, ʻo ia kaʻu i hana ai, ʻoi aku ka maikaʻi a me ke olakino. ʻO ka mea pōmaikaʻi, aia ka hale hoʻomaha o ke kulanui ma ka ʻaoʻao o ka pā kula. He 1-2 mau minuke kaʻu huakaʻi i ka home, ma muli o koʻu luhi i ka haʻiʻōlelo.
I loko o kēlā me kēia keʻena hana, aia ʻelua mau kiaʻi ma ka pākaukau, ma kahi e wehe ai ʻoe i ka hana, ma ka lua kāu papahana.
1 pm - 3pm - noho mākou i loko o ka hale hana a hana i kekahi hana, aia mau kahi aʻo liʻiliʻi i hoʻopili ʻia, no ka laʻana, ʻelua mau hiʻohiʻona a me ka wehewehe ʻana i ke ʻano o ka hoʻohana ʻana i kahi neural network i ka ʻōlelo papahana R, a laila kēia hana. iho. Hāʻawi ʻia iā mākou ka lōʻihi o hoʻokahi pule e hoʻouna i ka hana. ʻO ia hoʻi, hoʻokaʻawale mākou i loko o ke keʻena me kahi kumu aʻo, e nīnau i nā nīnau i nā kumu aʻo kōkua inā pono, a laila, inā ʻaʻohe manawa e hoʻomaka a hoʻopau i ka hana, lawe mākou i ka home a hoʻopau iā mākou iho. Ma keʻano he kūlana, ma kahi haʻi'ōlelo e hoʻolohe mākou i ka māhele hoʻomaka, kahi, no ka laʻana, pono i kahi pūnaewele neural, a ma ka hale keʻena ua hoʻohana mākou i kā mākou mau mākau.
— Aia kekahi mau hiʻohiʻona i ka hoʻomaʻamaʻa ʻana i kāu ʻoihana kūikawā? Loaʻa iā ʻoe nā papahana hui?
— ʻO ka maʻamau, ʻaʻole lawe nā papahana haku ma Scotland i nā hoʻokolohua, akā no kekahi kumu ʻaʻole pili kēia lula i nā loea ʻikepili nui. A pono mākou e lawe i ʻelua mau hoʻokolohua ma Data Mining a me Visualization, a me Artificial Intelligence. ʻO ke kumu, hōʻike mākou i nā papahana hui o 2-3 mau kānaka wale nō.
Ua lawe mākou i nā hoʻokolohua ma ke kahua pāʻani pōpeku.
ʻO ka papahana hoihoi loa i hiki iaʻu ke komo, ʻo ia ka hoʻokumu ʻana i kahi polokalamu kelepona ma ke ʻano he papahana hope loa ma ke kumuhana Mobile Networks and Smartphone Application. Me ka loaʻa ʻole o ka ʻike ma ka ʻōlelo hoʻolālā Java, a me kekahi ʻike o ka hana ʻana i kahi hui, ua hōʻuluʻulu au i kahi hui o 2 mau polokalamu polokalamu maikaʻi loa (ua loaʻa iā lākou kahi pūʻulu o nā papahana i hoʻopau ʻia ma hope o lākou) a me aʻu. ʻAʻole wau i hana wale ma ke ʻano he mea hoʻolālā (hana i kahi hōʻailona, manaʻo maʻamau), akā ma ke ʻano he mea hoʻomohala, hoʻolālā (mahalo iā Google a me YouTube) kekahi mau hiʻohiʻona maikaʻi. ʻAʻole wale kēia papahana e pili ana i ke code, ua aʻo mai iā mākou pehea e hana pū ai a hoʻolohe i kēlā me kēia lālā o ka hui. Ma hope o nā mea a pau, he 2 pule wale nō kā mākou e noʻonoʻo ai i ka mea e hoʻomaka ai e hana, i kēlā me kēia manawa e hālāwai me nā ʻano ʻino āpau.
- Kaʻike nui! ʻO ka hiki ke hana i kahi hui he mea nui no kāu ʻoihana e hiki mai ana. Akā, e hoʻi kāua i ka hoʻomaka ʻana... He paʻakikī paha iā ʻoe ke komo ʻana i ke kulanui? He aha ka mea i koi ʻia mai iā ʻoe?
- Pono ia e hele i hoʻokahi hoʻokolohua - IELTS, ma ka liʻiliʻi - 6.0 no kēlā me kēia helu. Mai ke kulanui ma mua, i koʻu hihia mai ke keʻena physics, e lawe i nā ʻōlelo aʻoaʻo 2 mai nā kumu a pane i nā nīnau 5 ma ke kākau ʻana no ke kulanui (e like me "No ke aha ʻoe e makemake ai e aʻo ma kā mākou kulanui", "No ke aha ʻo Scotland?"..). I ka loaʻa ʻana o kahi hāʻawi mai ke kulanui, pono ʻoe e pane iā ia a uku i kahi waihona, a laila hoʻouna lākou iā CAS - kahi ʻāpana pepa e hiki ai iā ʻoe ke hele i ka ʻelele Pelekane e noi no kahi visa haumāna.
A laila, hiki iā ʻoe ke ʻimi i nā haʻawina a me nā kālā e hiki ke uku no kekahi ʻāpana o ke aʻo ʻana a i ʻole nā hoʻomaʻamaʻa āpau (ʻoiai ʻoi aku ka paʻakikī o kēia), a hoʻouna i nā noi. Loaʻa i kēlā me kēia waihona kālā a i ʻole ʻaoʻao o ka hui nā ʻike āpau a me nā lā palena. I kēia hihia, hana ke kumu "ʻoi aku ka maikaʻi". Inā hōʻole kekahi hui, e ʻae kekahi. E kōkua ʻo Google iā ʻoe i kāu hulina (kahi mea e like me "scottish scholarship for international students"). Akā, ʻoi aku ka maikaʻi o ka hana ʻana ma mua. A ʻae, ʻaneʻane ʻaʻohe palena makahiki.
ʻO koʻu kulanui.
- ʻO kēia mau paukū 2 he mea maʻalahi loa, akā ma hope o lākou e waiho nei i nā hana paʻakikī! Hana maikaʻi! E haʻi iki iā mākou e pili ana i kahi āu e noho nei i kēia manawa.
— Noho au i loko o ka hale moe haumāna. Aia ka hale moe ma ka ʻaoʻao o ka pā kula o ke kulanui, no laila, ʻo ka hele ʻana i kekahi lumi papa a i ʻole ke keʻena hana mai ka 1 a 5 mau minuke. ʻO ka hale hoʻomoe he lumi me ʻelua lumi, kahi lua lua a me ka lumi kuke. Nui nā lumi a ākea loa me kahi moena, papaʻaina, nā papa moe, nā noho a me nā ʻaʻahu (ua loaʻa iaʻu koʻu lumi liʻiliʻi no kahi lumi ʻaʻahu - laki wale nō).
Ko'u lumi.
Nui nō hoʻi ka lumi kuke me kahi papaʻaina, nā noho, kahi papa kuke nui a me kahi sofa. Ma ke ala, kahi i noho pinepine ai nā hoaaloha o koʻu hoalauna no 3-4 mau lā, kahi ʻano hoaaloha Scottish) ʻO ke kumukūʻai, ʻoiaʻiʻo, ʻoi aku ka maikaʻi inā ʻoe e ʻimi i nā hale ma ke kula kulanui ma mua o waho, akā laila e loaʻa. ka hihia o nā hoalauna a me nā bila uila a me ka wai.
ʻO ke kiʻi o koʻu hale moe i lawe ʻia mai ka hale kulanui.
— He aha nā manaʻo ma hope o ka puka ʻana? Pehea ʻoe e ʻike ai i kou ala i mua?
— Ke hoʻomanaʻo nei au i koʻu komo ʻana i ka Faculty of Physics ma Moscow State University, aia kahi pepa "The best department of the best university in the country" e kau ana ma luna o ke keʻena komo. Ke hele ʻoe a puni ke kihi i ke keʻena komo o ka Computational Mathematics a me Cybernetics, e kāhāhā ʻoe, akā aia ma kahi o ka pepa like. Ma nā pūnaewele o nā kulanui, ʻo ka ʻōlelo Pelekania a me ka Scottish, ʻaneʻane like ia: ʻimi hana wikiwiki, uku uku astronomical, etc.
ʻAʻole i loaʻa iaʻu kahi hana, a i ʻole, ʻaʻole wau i ʻimi, no ka mea, pono wau e pale i kaʻu dissertation (ʻekolu mākou mau mahina kauwela no kēia, a ʻo ka pale ponoʻī iā Sepatemaba. Ua hoʻomaka wau i kaʻu aʻo ʻana i Kepakemapa i hala makahiki, he 1 makahiki ka papahana o ka haku). Makemake wau e ʻōlelo e hilinaʻi wale ana kāu mau manaʻo iā ʻoe a ma kahi hapa liʻiliʻi o ke kulanui i koho ʻia. Ke ʻimi nei i kahi hana, kākau ʻana i kahi dissertation, hoʻomākaukau no nā nīnauele, internships - ʻo ia kaʻu mau hoʻolālā no ka wā e hiki mai ana.
— Ke manaʻo nei ʻoe e hoʻi i Rusia ma hope?
- Ua ʻike ʻoe, ʻo ke aʻo ʻana ma waho i hāʻawi mai iaʻu i ka mea nui loa - ka manaʻo o ka home ma nā wahi āpau o kā mākou honua nui. A ʻo ka lua, ua hauʻoli wau i nā mea a pau Lūkini a hoʻāʻo e kākoʻo a hoʻohana i nā ʻenehana Lūkini a me nā huahana hou me ka ikaika e like me ka hiki, me Telegram (@Scottish_pie), kahi aʻu e holo ai i kaʻu kahawai ponoʻī e pili ana iā Scotland.
ʻO ka ʻōpio a me ka ikaika, makemake wau e ʻike i nā ʻāina he nui a loaʻa ka ʻike e like me ka hiki ke kamaʻilio a hana pū me nā haole. Hoʻololi ko lākou hiʻohiʻona a me ka ʻike honua i ko lākou ala i ke ola. Ua ʻike au ua ʻoi aku ka maikaʻi o koʻu ʻano a ʻaʻole i hoʻokaʻawale ʻia i ka kamaʻilio ʻana me nā kānaka, hoʻāʻo wau ʻaʻole e "ʻoki i kēlā me kēia me ka pulu hoʻokahi."
Makemake au e hoʻi i Rusia? - ʻOiaʻiʻo, aia koʻu mau mākua a me koʻu mau hoaaloha, ʻaʻole hiki iaʻu ke haʻalele iā Rūsia, ma ka ʻāina kahi i loaʻa ai koʻu wā kamaliʻi, koʻu aloha mua a me nā kūlana ʻakaʻaka he nui.
- ʻAe, a laila, lana koʻu manaʻo, e ʻike iā ʻoe :) Ua ʻike anei ʻoe ua lilo ʻoe i ʻoi aku ka lokomaikaʻi... Ua ʻike paha ʻoe i nā loli ʻē aʻe iā ʻoe iho ma hope o 9 mau mahina ma kahi ʻāina ʻē?
- I kēia manawa, manaʻo wau ua wehe ʻia kekahi ʻano ʻuhane ʻuhane i loko oʻu, ʻo ke kamaʻilio ʻana me nā India (ua maikaʻi loa lākou!) Ua loaʻa iaʻu kahi mana (ua like nā chakras - ahaha, ʻakaʻaka), a i ʻole ke kaʻawale ʻana mai koʻu ʻohana, kahi i waiho ʻia ai ʻoe i kāu mau manaʻo ponoʻī, ʻo ka hoʻihoʻi ʻana a me ka hauʻoli ʻole i ke ola ʻaʻole ia he mea pono. ʻŌlelo mai ʻo Māmā (heh, i hea mākou inā ʻaʻole ʻo ia) ua ʻoi aku ka mālie a me ke aloha, a me ke kūʻokoʻa. ʻAʻohe oʻu mau manaʻolana kiʻekiʻe no kaʻu hoʻomohala pilikino, a me ka ʻimi ʻoihana wikiwiki loa - he hana lohi kēia mau mea āpau. ʻO kēia, ʻoiaʻiʻo, he ʻike koʻikoʻi ka noho kaʻawale ʻana ma kahi ʻāina ʻē a lanakila i nā pilikia, me ka ʻole o ka hana ʻole e hiki ke hana) Akā no kekahi ʻatikala ʻē aʻe :)
- ʻAe! Laki maikaʻi me kāu dissertation a me ka ʻimi hana! E kali kākou i ka hoʻomau o ka moʻolelo.
Source: www.habr.com