Artificial Intelligence (AI)

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Iqukethe izikhangiso

Mayelana nalolu hlelo lokusebenza

Buyini ubuhlakani be-Artificial (AI)?

I-Artificial intelligence (AI) isho ukumbumbuluzwa kobuhlakani babantu emishinini ehlelwe ukuba icabange njengabantu futhi ilingise izenzo zabo. Leli gama lingase futhi lisebenze kunoma yimuphi umshini obonisa izici ezihambisana nomqondo womuntu njengokufunda nokusombulula izinkinga.

I-Artificial intelligence (AI) indawo yesayensi yamakhompyutha egcizelela ukwakhiwa kwemishini ehlakaniphile esebenza futhi isebenze njengabantu. Izinqubo zifaka ukufunda, ukubonisana nokuzilungisa. I-AI yenziwa ngokufunda ukuthi ubuchopho bomuntu bacabanga kanjani, nokuthi abantu bafunda kanjani, banqume futhi basebenze kanjani ngenkathi bezama ukuxazulula inkinga.

Thola ukuthi ungazakha kanjani izinhlelo zokusebenza ezihlakaniphile ezigxile ezithombeni, umbhalo kanye nedatha yochungechunge lwesikhathi. Kusetshenziswa kabanzi emikhakheni eminingi efana nezinjini zokucinga, ukuqashelwa kwesithombe, amarobhothi, ezezimali, njalonjalo. Uzofunda ngama-algorithms ahlukahlukene angasetshenziswa ukwakha izinhlelo zokusebenza ze-Artificial Intelligence.

Uyini wena?

- Isingeniso se-Artificial Intelligence kanye nama-ejenti ahlakaniphile, umlando we-Artificial Intelligence
- Ukwakha abahlakani abahlakaniphile (usesho, imidlalo, ukuqonda, izinkinga zokwenelisa)
- Ama-algorithms wokufunda ngomshini
- Izicelo ze-AI (Ukusetshenziswa Kwezilimi Zemvelo, Amarobhothi / Umbono, Ukuqonda Ulimi)

Okuqukethwe kohlelo lokusebenza

1) Isingeniso se-AI

- Ukuhlolwa Kokuvivinya
- Umlando we-Artificial Intelligence
- Inkinga ye-Intelligence Intelligence
- I-Artificial Intelligence Cycle

2) Indlela yokuxazulula inkinga AI

- Isikhala Sombuso
- Ukusesha Igrafu
- A * search
- Ukucinga Okujwayelekile
- I-algorithm yofuzo
-Ububanzi Bokusesha
- UkuSesha Okujulile
- Ukucinga Okuphathekayo
- Imidlalo
- Ukubhala emuva
- I-Minimax Algorithm
- Usesho Olungafakwanga
- Isampula le-N-Queen
- Isinqumo Esifanele
-Bufakazi Bokwamukelwa
- Isihlahla Sesha
- Izihlahla ze-Alfa Beta
- Bheka Phambili
- Iterative-Ukujulisa
- Ukucinga Okuhaha
- Sesha igrafu
- Ukucinga Okuchaziwe
- Ukuqondisa okuqondile kwe-Bi
- Consistencyqhutywa
- Ukusesha Kwe-Adversarial
- Ukuvumelana kwezindlela
- Indlela Yokwaziswa
- Okunye Memory kukhawulelwe
- Izakhiwo zokujula

3) Ulwazi nokubonisana

- Logic Okuyisisekelo
- Ukubusa Kokufaka
- Efihlekile Modov Model
- Amanethiwekhi weBayesian
- Phambili ukuhlanganisa
- Ukuhleleka kokuqala kokuqala
- FUTHI / NOMA Izihlahla
- Ama-Semantics
- Ulwazi Level
- Ukubusa okusekelwe kwezinhlelo
- I-Pure Pro-log
- Ubumbano
- Herbrand Universe
- Umqondo
- I-non-Monotonic

4) Ukwenza ngokunengqondo nokufunda

- Kufundiswe kugcizelelwa
- AmaSemantics weBayesian
-Ukufunda okuqondisiwe
- Udaba lokufunda
- Amanethiwekhi Semantic
- Inethiwekhi yeNeural
- INative Bayes Model
- I-Artificial Neural
- I-probabilistic
- Ozimele
- Isinqumo Isihlahla
- IPerceptron
-Ukufunda kwesayensi
- Ukupheliswa Kokukhethwa
- I-Back-Propagation
- Akugadwe
- I-taxonomy yokufunda
- Ukunwebeka Semantic
- I-Multi-Layer
- Ukuhlukanisa Imisebenzi
- I-Interleaving vs. Ukungalingani kwe-Sub-Plan
- Ukuhlela njengosesho
- Uhlobo olujwayelekile lwe-EM Algorithm

5) Ukuxhumana, ukuqonda nokwenza

- I-Regression Algorithm
- Ulimi Olwemvelo
- Ukuhlanganisa Algorithm
- Isibalo se-Algorithm
- Ukuqashelwa Kwephethini
- Ukusetshenziswa nesicelo
- Ukuguquguquka
- Izinyathelo kuLimi


Lezi zingxenye ezinhlanu ziqukethe izihloko eziyi-142 futhi ngokufunda konke kuzoba kuhle ngokwanele ukuklama uhlelo lisebenzisa izilimi ezinjenge-R, Python, SAS, Matlab, Set, SPSS njll.

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