Table of Contents[Hūnā][Hōʻike]
Inā ʻoe he Mīkini Aʻo, Artificial Intelligence, a i ʻole ʻepekema kamepiula, maopopo paha ʻoe i ka manaʻo a me ka pono o ka ʻikepili e kōkua i ka hoʻomaikaʻi ʻana i kahi ʻōnaehana a i ʻole lawelawe.
Hoʻohana nā ʻenehana loea a me nā hui multinational i ka nui o ka ʻikepili e hoʻomaikaʻi i ka ʻike o ka mea kūʻai aku a me ko lākou ʻano holoʻokoʻa o ka lawelawe ma o ka hoʻohana ʻana i nā ʻenehana holomua o ka naʻauao ʻoihana e hoʻomaopopo i kā lākou ʻikepili. ʻO kekahi o nā ʻenehana e puka mai nei a koʻikoʻi loa i kapa ʻia ʻo ka wānana wānana.
Ke hele nei kēia ʻatikala ma luna o ka manaʻo o nā mea hana loiloi wānana, kā lākou noi, a me kekahi mau hiʻohiʻona o Wehewehe nā mea hana hiki iā ʻoe ke hoʻohana!
He aha nā mea hana wānana wānana?
ʻO nā mea paahana wānana wānana he polokalamu ia e hoʻoholo ai i nā mamana a me nā ʻano ma o ka nānā ʻana a me ka unuhi ʻana i ka ʻike mai kahi ʻikepili i loaʻa. Ke hoʻohana nei kēia mau mea hana i nā ʻano ʻenehana helu like ʻole me ka mining data, predictive modeling, a me Machine Learning e kālailai i ka ʻikepili i hāʻawi ʻia a hana i nā wānana.
Hiki ke hoʻohana ʻia kēia mau mea hana no ka hoʻomaopopo ʻana i nā hiʻohiʻona i ka ʻano o ka mea kūʻai aku a me nā ʻano mua e hana i kahi hoʻolālā no kahi manawa kikoʻī e hoʻonui ai i ka loaʻa kālā a me ka kūleʻa o kahi lawelawe i hāʻawi ʻia.
Nā noi o Analytics Predictive
Nui nā noi o nā hāmeʻa ʻikepili wānana e pili ana ma luna o kekahi mau kahua, me:
E-kalepa
- Ke kālailai ʻana i ka ʻikepili o nā mea kūʻai aku e hui pū i nā poʻe ma muli o kā lākou makemake kūʻai a laila wānana i ka likelike o kēia mau pūʻulu e kūʻai i nā huahana.
- Ka wānana ʻana i ka Return Of Investment (ROI) o nā hoʻolaha hoʻolaha i manaʻo ʻia.
- ʻOhi ʻikepili mai nā hale kūʻai pūnaewele maʻamau e like me Amazon Marketplace.
Social Media ke kūʻai akuʻana
- Hoʻolālā i ke ʻano a me ke ʻano o ka ʻike e kau ai.
- E wānana ana i ka lā a me ka manawa maikaʻi loa e kau ai i ka ʻike i hāʻawi ʻia.
- Ka mālama ʻana i nā hoʻolaha Google a me nā hoʻolaha ma ka laulā.
Nānā Kāleke a meʻIke
- E noʻonoʻo ana i nā helu hōʻaiʻē.
- ʻIke ʻana i nā hana hoʻopunipuni.
Papahana mālama ola kino
- Ka nānā ʻana i ke olakino ma ke ʻano laulā.
- Ka ʻike ʻana i nā hōʻailona mua o nā pilikia olakino i loko o ke kanaka.
Manufacturing
- Ka mālama ʻana i nā waihona waiwai a me nā kaulahao hoʻolako.
- Kōkua i ka hoʻouna ʻana a me ke kaʻina hana.
Wehe-Source Predictive Analytics Tools
1. ʻIke ʻIke ʻAlani
ʻO ka ʻalani kahi mea hana ʻike ʻike a me ka ʻikepili e hana ana i ka ʻikepili wānana ma o ka hoʻolālā ʻike a i ʻole ka palapala Python. Lawe ʻia kēia pahu hana ma ke ʻano he waihona Python a loaʻa nā ʻāpana no Ka Papa Hana, bioinformatics, ʻeli kikokikona, a me nā hiʻohiʻona analytical ʻikepili ʻē aʻe.
Key helehelena
- Pāʻoihana ʻikeʻike ʻikepili a me nā hiʻohiʻona hōʻike kiʻi.
- Loaʻa i nā polokalamu ʻike.
- Kiʻi kiʻi ma ka canvas Keena hoʻohana (GUI) maʻalahi ka hoʻohana ʻana no ka poʻe hoʻomaka.
- Hiki ke hoʻokō i ka ʻikepili maʻalahi a paʻakikī.
2. Anaconda
ʻO kahi ʻepekema data open-source Python a me R distribution platform me ka ʻoi aku o 250 mau pūʻolo kaulana like ʻole i hoʻohana ʻia e hoʻohana wale i ka hoʻokele a me ka hoʻolālā ʻana. Hoʻohana kēia māhele i ka ʻepekema data, Ka Papa Hana nā noi, a me ka hoʻoili ʻikepili nui e hana i ka ʻikepili wānana.
Key helehelena
- ʻIkepili kiʻekiʻe, hoʻohana i nā kahe hana, a me ka pilina ʻikepili.
- Hoʻohui i nā kumu ʻikepili a pau e unuhi i ka waiwai nui mai ka ʻikepili.
- E hana i nā hiʻohiʻona analytic wānana me Python, R, a Nā Puke Puke Kiʻekiʻe.
- Hoʻohui i kāu mau hiʻohiʻona analytic wānana i nā polokalamu pūnaewele naʻauao a me nā hiʻohiʻona pili.
- E hui pū me nā hui ʻepekema data holoʻokoʻa me ka hoʻohana ʻana iā Anaconda.
3. R Kaiapuni lako polokalamu
Hoʻohana ʻia ke kaiapuni R no ka helu helu helu a me nā kiʻi. Hoʻopili a holo ia ma nā ʻōnaehana hana like ʻole me UNIX, Windows, a me MAC OS. Loaʻa i kēia kaiapuni kahi hōʻiliʻili nui o nā mea hana waena no ka ʻikepili ʻikepili a me ka hōʻike kiʻi kiʻi o ka ʻikepili ʻikepili.
Key helehelena
- Loaʻa i nā ʻano hoʻohālike helu like ʻole a me nā ʻenehana kiʻi no ka ʻikepili wānana.
- ʻO ka mālama ʻana i ka ʻikepili kūpono a me nā keʻena mālama.
- ʻO kahi hui o nā mea hoʻohana no ka helu ʻana i nā ʻikepili paʻakikī a me nā ʻikepili helu.
- Loaʻa ke kākoʻo ma ka pūnaewele mai ke kaiāulu R.
4. Scikit-Aʻo
He hale waihona puke Mīkini kēia no ka ʻōlelo papahana Python. Loaʻa iā ia nā ʻano hoʻohālikelike like ʻole, regression, a clustering algorithms me nā Support Vector Machines (SVMs), nā ululāʻau random, a me ka k-means clustering i mea pono loa no ka hoʻohālike wānana. Eia nō naʻe, koi ʻia ka ʻike hoʻolālā kiʻekiʻe e hiki ke hana i nā ʻikepili wānana me ka hoʻohana ʻana iā Scikit-Learn.
Key helehelena
- ʻO ka lawelawe ʻana i ka ʻikepili kiʻekiʻe e pili ana i ka hōʻike ʻana i ka ʻikepili ma ke ʻano hiʻohiʻona a me ka papa kuhikuhi, ka hoʻonohonoho ʻana i ka ʻikepili i loko o nā matrices hiʻohiʻona a i ʻole nā vektor kikoʻī.
- Loaʻa kekahi helu o ka hoʻokaʻawale ʻana, regression, a me ka clustering no ka ʻikepili wānana.
- Nā anana pololei he nui e ho'āʻo i ka hana hoʻohālike wānana.
5. Weka Data Mining
ʻO Weka kahi hōʻuluʻulu o nā algorithms Learning Machine no nā hana hoʻohālike wānana i kākau ʻia ma Java. Hiki ke hoʻopili pololei ʻia kēia mau algorithms i kāu ʻikepili a i ʻole e kāhea ʻia me ka hoʻohana ʻana iā Javascript. ʻO nā ʻano hana ʻikepili i hāʻawi ʻia e Weka e loaʻa i nā ʻenehana ʻikepili, preprocessing, a me nā ʻenehana ʻike. Hoʻohana pū ʻo Weka i ka hoʻohālikelike, regression, a me nā kumu hoʻohālike no ka ʻikepili wānana.
Key helehelena
- Nā ʻenehana hana mua ʻikepili a me ka ʻike.
- Hoʻokaʻawale ʻikepili, regression, a clustering algorithms.
- Nā lula hui nui e wānana i nā ʻano o ka ʻikepili.
- Hiki ke hoʻopaʻa ʻia a me ka hoʻomanaʻo ʻana i ka lako lako polokalamu.
6. Apache mahout
ʻO kahi kaiapuni hoʻolālā maʻalahi a hoʻonui ʻia no ke kūkulu ʻana i nā algorithm aʻo Mīkini hiki ke hoʻonui a hoʻokō. Aia i loko o ke kaiapuni kekahi helu o Scala i hana mua ʻia, Apache Spark, a me Apache Flint algorithms. Hoʻohana kēia kaiapuni iā Samsara, kahi hoʻokolohua makemakika vector e like me ka ʻōlelo R e hana ana ma ka pālākiō.
Key helehelena
- Kānana hui pū e kūkulu i nā ʻōnaehana paipai.
- Hoʻopili a hoʻokaʻawale i nā algorithms no ka hoʻohālike wānana.
- Kākoʻo i ka manawa mau mea hoʻonohonoho no ka ʻohi ʻikepili kiʻekiʻe.
- Mea hoʻohana algebra linear a puʻunaue i ka algebra optimizer no ka ʻikepili helu kiʻekiʻe.
- Hoʻokumu i nā algorithm hiki ke hoʻonui ʻia no ka ʻikepili wānana.
7. ʻO ka Gahana GNU
Hōʻike kēia polokalamu i kahi ʻōlelo kūlana kiʻekiʻe i manaʻo ʻia no ka helu helu. Loaʻa i kēia polokalamu kahi syntax pili i ka makemakika me ka hoʻolālā ʻana i kūkulu ʻia a me nā mea hana ʻike no ka ʻikepili ʻikepili kiʻekiʻe. Ua kūpono ʻo GNU Octave me nā palapala MATLAB a me nā ʻōnaehana hana me GNU/Linux, MAC OS, a me Windows.
Key helehelena
- ʻO ka hoʻolālā ʻikepili 2D/3D i kūkulu ʻia a me nā mea hana ʻike.
- Kākoʻo i kekahi mau pūʻolo helu GNU no ka ʻikepili ʻikepili.
- Hoʻohana i ka hana hoʻohālike wānana no ka makemakika.
- Hiki ke holo i nā hiʻohiʻona wānana MATLAB a me nā algorithms Machine Learning.
8. ʻO SciPy
ʻO kahi hōʻiliʻili o nā lako polokalamu Python open source i hoʻohana ʻia no ka ʻenehana a me ka ʻepekema ʻepekema. Hōʻike ʻo SciPy i nā pūʻolo koʻikoʻi e hāʻawi i nā mea hana computing no Python. Hoʻohana ʻo ia i nā ʻenehana lawelawe ʻikepili kiʻekiʻe a me nā hiʻohiʻona wānana e pili ana i k pili kokoke, nahele ululāʻau, a nā hanana laulā.
Loaʻa ʻo SciPy ma ke ʻano he Hale waihona puke Python i nā māhele Python he nui a he pūʻolo ma Anaconda.
Key helehelena
- Nā modules no ka hoʻonui ʻana, linear algebra, hoʻohui, interpolation, nā hana kūikawā, FFT, a me nā mea hoʻonā ODE.
- Hāʻawi i nā hana like ʻole no ka hōʻailona, kiʻi, a me ka hana ʻikepili.
- Kākoʻo iā NumPy a me Matplot.
Panina
Pono ʻoe i kēia manawa he manaʻo maikaʻi e pili ana i nā hāmeʻa hoʻokalakala wanana open source, kā lākou mau noi, a pehea lākou e hoʻohana ai i nā ʻenehana holomua e hana i nā wānana ma o ka ʻikepili.
ʻO nā mea hana a pau i ʻōlelo ʻia he manuahi loa e hoʻohana a loaʻa i nā mea āpau. Inā ua hoʻohana mua ʻoe i kēia mau mea hana, e haʻi mai iā mākou e pili ana i kāu ʻike ma nā manaʻo.
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