- - ka ʻikepili o ka poʻe kipa hale kūʻai: id, kāne, makahiki, loaʻa kālā, helu hoʻolimalima. (Koho noi: )
- - he papa helu no ka poʻe hoʻomaka, loaʻa ka nui o nā sepals a me nā petals no nā pua like ʻole.
- - he papa helu helu o nā helu kākau lima. 60 kiʻi aʻo a me 000 kiʻi hoʻāʻo.
- he papa helu kaulana no ka ʻike kumu. Loaʻa ka ʻike e pili ana i nā hale ma Bosetona: ka helu o nā hale, nā kumukūʻai hoʻolimalima, helu helu hewa.
- — aia he 7796 mau helu me nā hōʻailona nūhou: ʻoiaʻiʻo a i ʻole hoʻopunipuni. (Ke koho noi me ka code kumu ma Python: )
- — aia ka ʻike e pili ana i ka waina: 4898 mau moʻolelo me 14 mau ʻāpana.
- - he koho maikaʻi e hoʻomaka me. Loaʻa iā 25 mau moʻolelo o ke kiʻekiʻe a me ke kaumaha o nā poʻe 000 makahiki.
Ua unuhi ʻia ka ʻatikala me ke kākoʻo o EDISON Software, ʻo ia , a me . - - 195 mau moʻolelo o nā maʻi me ka maʻi o Parkinson, me 25 mau ʻāpana hoʻohālikelike. Hiki ke hoʻohana ʻia no ka loiloi mua ʻana i ka ʻokoʻa ma waena o ka poʻe maʻi a me nā kānaka olakino. (Ke koho noi me ka code kumu ma Python: )
- - loaʻa nā ʻike e pili ana i nā kaʻa (makahiki, kāne, ʻohana ma luna o ka moku, a me nā mea ʻē aʻe) 891 i ka hoʻonohonoho hoʻomaʻamaʻa a me 418 i ka hoʻonohonoho hoʻāʻo.
- - ka ʻike e pili ana i 4.5 miliona mau huakaʻi ma Uber i 2014 a me 14 miliona i 2015. (Koho noi me ka code kumu ma R: )
- — loaʻa nā kiʻi o nā hōʻailona Pelekane a me Kanada o nā papa 64: 0-9, AZ, az. 7700 7.7k kiʻi kūlohelohe, 3400k kākau lima, 62000 lolouila i hoʻohuihui ʻia.
- - aia ka ʻike e pili ana i nā kālepa o nā kāleka hōʻaiʻē i hoʻopaʻa ʻia. (Koho noi me ke kumu: )
- - he faila JSON i loaʻa i nā ʻano inoa like ʻole: aloha, aloha, hulina_hopila, hulina lāʻau lapaʻau, etc. Loaʻa i kahi pūʻulu o nā kumu hoʻohālike nīnau-pane. (Ke koho noi me ka code kumu ma Python: )
- - aia i loko o ka hapalua miliona mau leka mai 150 mau luna Enron.
- - aia he 1,2 miliona mau manaʻo mai 1,6 miliona mau mea hoʻohana ma kahi o 1,2 miliona mau hui.
- — ʻoi aku ma mua o 200 mau nīnau a pane mai ka pāʻani kīwī kaulana.
- - he puka puka me ka hōʻiliʻili o nā ʻikepili mai ke Kulanui ʻo UCSD. Loaʻa nā moʻolelo o nā loiloi ma nā pūnaewele kaulana (Goodreads, Amazon). Maikaʻi no ka hana ʻana i nā ʻōnaehana paipai. (Koho noi me ka code kumu ma R: )
- - kahi ʻikepili aʻo no ka ʻike spam. Loaʻa iā 4601 nā leka me 57 mau ʻāpana metadata.
- - ʻoi aku ma mua o 30 mau kiʻi a me nā captions. ( — 8000 kii. Pāhana kumu Python: )
- — 25 kiʻiʻoniʻoni i loko o ka hoʻomaʻamaʻa hoʻonohonoho a me 000 i ka hoʻāʻo. (Koho noi me ka code kumu ma R: )
- - 1,5 miliona mau kiʻi i hoʻopaʻa ʻia.
- — Loaʻa iā CIFAR-10 he 60,000 mau kiʻi liʻiliʻi o 32*32 pixels helu 0-9. CIFAR-100 - kēlā me kēia, 0-100.
- — 50 kiʻi o 000 hōʻailona alanui. (Ke koho noi me ka code kumu ma Python: )
- - aia ma mua o 100 mau huaʻōlelo a ma kahi o 000 mau kiʻi i kēlā me kēia ʻōlelo.
- - aia ka waihona i nā kiʻi o nā laʻana maʻi maʻi umauma. (Koho noi me ke code kumu )
- — loaʻa nā hōʻike kiʻekiʻe o nā kaʻina wikiō o nā alanui ma nā kūlanakauhale like ʻole.
- - aia kahi loulou URL ma kahi o 6,5 miliona mau wikiō kiʻekiʻe.
- — Aia i loko o ka waihona he 25 mau kiʻi o nā poses kanaka me nā hōʻike hui.
- - he pūʻulu wikiō kiʻekiʻe e hōʻike ana i ka hana a ke kanaka i kekahi hana.
- - he papa helu o nā kiʻi kiʻekiʻe me nā pahu hoʻopaʻa mea.
- - aia ma mua o 1000 mau kiʻi me kā lākou kiʻi kiʻi.
- — Aia i loko o ka waihona he 491 CT scan o ke poʻo me 193 mau ʻāpana.
- - he waihona me ka ʻoi aku o 5 miliona mau kiʻi o nā helehelena i hōʻailona ʻia e ke kāne a me ka makahiki. (Koho noi me ke code kumu )
- - He waihona wikiō i hōʻailona ʻia i loaʻa he 6,1 miliona mau wikiō wikiō Youtube
- - he pūʻulu o nā ʻikepili kani kūlanakauhale (loaʻa iā 8732 mau kani kūlanakauhale mai nā papa he 10).
- - he papa helu o nā miliona o nā kiʻi kala o nā hiʻohiʻona a me nā mea (ma kahi o 59 miliona mau kiʻi, 10 mau ʻano hiʻohiʻona like ʻole a me 20 mau ʻano mea like ʻole).
- — waihona ʻike leo o ka haʻiʻōlelo manaʻo. (Koho noi me ke code kumu )
- — Loaʻa i ka ʻikepili he 1000 mau hola o ka ʻōlelo Pelekania me nā leo ʻokoʻa.
- - he waihona no ka hoʻomohala ʻana i nā ʻenehana hoʻokele ponoʻī.
- - ka waihona o ka ʻikepili hoʻokele waiwai a me ka ʻikepili kālā (aia nā ʻike manuahi a uku ʻia).
- - ka ʻike e pili ana i nā hōʻaiʻē i hoʻopuka ʻia e ka World Bank i nā ʻāina kūkulu.
- he puka waihona kālā kālā honua e hoʻopuka ana i ka ʻikepili e pili ana i ke kālā kālā o ka honua, ka uku ʻaiʻē, ka hoʻopukapuka kālā, nā hoʻopaʻa kālā haole a me nā waiwai.
- - He kumuwaiwai no ka ʻimi ʻana i ka ʻikepili macroeconomic US.
- - Hiki ke hoʻohana ʻia ka ʻikepili trend Google no ka ʻimi ʻana i ka ʻikepili.
- he kumuwaiwai no ka ʻike hou loa e pili ana i nā mākeke kālā mai nā wahi a puni o ka honua.
- - Ua wehe ʻia ke aupuni US i ka puka ʻikepili (mahiʻai, olakino, ea, hoʻonaʻauao, ikehu, kālā, ʻepekema a me ka noiʻi, etc.).
- ʻo ia ke kahua ʻikepili aupuni ākea o India.
- - loaʻa nā ʻikepili noiʻi e pili ana i ka meaʻai ma ʻAmelika Hui Pū ʻIa.
- he puka puka o ka US Department of Health and Human Services.
- - loaʻa i kahi ākea o nā ʻikepili pili i ke olakino.
- - ʻikepili e pili ana i ke ola o nā kānaka ma Lākana.
- - he puka puka o ka ʻikepili wehe e pili ana i ka poʻe Kanada (mahiʻai, kiʻi, mele, hoʻonaʻauao, aupuni, mālama olakino, etc.)
Heluhelu hou aku
Source: www.habr.com