Umtapo wezincwadi we-AI wamahhala

Okuyisisekelo abaqondisiMahhala phakade.

84 imihlahlandlela yesiNgisi esicacile, izindlela zokufunda ezihlelekile, nomtapo wolwazi ovulekile — wakhiwe inhlangano engenzi nzuzo ye-501(c)(3) ezimele ukuze noma ubani aqonde i-AI yesimanje.

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Ezinhlanu izifundo ezisekelwe emiphumeleni

Isifundo ngasinye sihlanganisa imiphumela esobala, amakhono afakwe kumephu, imisebenzi yokuzilolonga, kanye netshe eliyinhloko elisetshenzisiwe.

I-AI Foundations

Qonda ukuthi iyini i-AI, ukuthi amasistimu afunda kanjani, lapho ehluleka khona, kanye nendlela yokwahlulela izimangalo ngaphandle kokukhohlisa.

~4h ukuqedelaBuka inkambo

Umsebenzisi we-AI onesibophezelo

Sebenzisa i-AI ngendlela ekhiqizayo kuyilapho uvikela ubumfihlo, ubheka imiphumela, futhi ulondoloza ukuziphendulela komuntu.

~5h ukuqedelaBuka inkambo

I-AI emsebenzini

Linganisa izimo zokusetshenziswa kwendawo yokusebenza, sebenzisa abashayeli bezindiza abaphephile, kala inani, futhi uxhumane nezinguquko ngokuzibophezela.

~6h ukuqedelaBuka inkambo

Inqubomgomo ye-AI Nomphakathi

Hlaziya izinhlelo ze-AI ngokusebenzisa amalungelo, ukulingana, ukubusa, ukuphepha, kanye nemiphumela yenzuzo yomphakathi.

~6h ukuqedelaBuka inkambo

Ukwakha nge-AI Systems

Qonda amamodeli olimi, ukubuyisa, abasebenzeli, ukuhlola, izindleko, nokuvikela ukusetshenziswa ngokuklama kwesistimu okusebenzayo.

~8h ukuqedelaBuka inkambo

Amathrekhi esihloko

Phequlula ngethrekhi

Gxumela endaweni oyikhathalelayo. Wonke amathrekhi anemihlahlandlela eminingi yesiNgisi esilula.

OkuyisisekeloImiqondo eyinhloko: ukuthi i-AI isebenza kanjani ezingeni eliphezulu.84 abaqondisi Ulimi lwe-AIAma-LLM, i-NLP, i-ChatGPT, ukwaziswa, nokuqonda umbhalo.155 abaqondisi I-AI ebonakalayoUkwakhiwa kwesithombe, umbono wekhompyutha, ividiyo, kanye nomklamo.133 abaqondisi Umsindo we-AIIzwi, umculo, i-podcasting, kanye ne-AI yokuqala yomsindo.117 abaqondisi IzinkampaniAmaphrofayili we-OpenAI, Anthropic, Google, Meta, nokunye.121 abaqondisi Izinhlelo zokusebenzaIvela kanjani i-AI ekubhaleni amakhodi, usesho, ama-ejenti, nempilo yansuku zonke.111 abaqondisi IzimboniI-AI kwezokunakekelwa kwempilo, ezezimali, imfundo, amandla, nokuningi.91 abaqondisi UbuchwephesheAma-chips, ukulungisa kahle, i-RAG, ama-vector, nengqalasizinda ye-AI.177 abaqondisi UmphakathiUkuchema, ubumfihlo, i-copyright, ukuphepha, nekusasa le-AI.30 abaqondisi

Umtapo wolwazi ogcwele

Zonke iziqondiso

84 kwe 1019 imihlahlandlela ebonisiwe. Hlunga ngethrekhi noma sesha ngenhla.

Okuyisisekelo

Ukwehla kwe-Stochastic Gradient nge-Momentum

I-Momentum iyi-tweak eya ekwehleni kwe-gradient enqwabelanisa isilinganiso esisebenzayo sama-gradient adlule, ivumela ukuthuthukiswa kugeleze ngokushesha ezigodini futhi kunciphe…

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I-Nesterov i-Accelerated Gradient

I-Nesterov Accelerated Gradient (NAG) iwuhlobo lomfutho ohlakaniphe kakhudlwana olubheka phambili ngaphambi kokwenza ikhompuyutha igradient, ikunikeza ukubheka phambili okulungisayo.

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Ukulahlekelwa Okuthathu kanye Nokufunda Kwemethrikhi

Ukulahleka kwe-triplet kufundisa inethiwekhi ye-neural ukubeka izinto ezifanayo eduze nezinto ezingafani ziqhelelene endaweni yokushumeka.

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Ilebula ethi Smoothing

Ukushelela ilebula kuyisu elilula lokujwayela elithambisa izinhloso zokuqeqesha ezishisayo, ukutshela imodeli impendulo eyiyo kungenzeka kakhulu kodwa hhayi i-100…

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Okuyisisekelo

Amaseli Enkumbulo Yesikhathi Esifushane

Amaseli Enkumbulo Yesikhathi Esifushane (i-LSTM) awuhlobo olukhethekile lweyunithi yenethiwekhi ye-neural ephindelelayo eyakhelwe ukukhumbula ulwazi ekulandeleni okude.

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Okuyisisekelo

K-Means Clustering

I-K-Means iyi-algorithm engagadiwe ehlunga idatha ngokuzenzakalelayo ibe ngamaqembu angu-K ngokuthola izikhungo zeqoqo.

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K-Omakhelwane Abaseduze

I-K-Nearest Neighbors (KNN) ihlukanisa iphoyinti ledatha elisha ngokubheka izibonelo eziseduze zika-K nokuthatha ivoti leningi.

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Logistic Regression

Ukwehla kokuhleleka kubikezela amathuba okuthi okuthile kungokwesigaba, njengogaxekile noma hhayi ugaxekile, ngokukhipha isamba esinesisindo ngejika elimise okuka-S.

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Okuyisisekelo

Naive Bayes Classifiers

I-Naive Bayes iyisigaba esisheshayo, esinokwenzeka esakhelwe phezu kwethiyori ye-Bayes ethatha ukuthi zonke izici zizimele uma kubhekwa isigaba.

2 min fundaFunda

Okuyisisekelo

I-ROC Curves kanye ne-AUC

Ijika le-ROC lihlela ukuthi umenzi wezigaba uwahlukanisa kanjani amakilasi amabili kuwo wonke umkhawulo wesinqumo ongase ube khona, futhi i-AUC icindezela lelo jika lonke libe inombolo eyodwa.

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Okuyisisekelo

Ukudideka Matrices

I-matrix yokudideka iyithebula elilula elihlukanisa izibikezelo zomhleli zibe izibalo ezilungile nezingalungile zekilasi ngalinye.

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I-Bias-Variance Tradeoff

I-bias-variance tradeoff ichaza ukuthi kungani imodeli ingahluleka ngokuba lula kakhulu noma ukuba yinkimbinkimbi kakhulu.

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